Resource Library

Clear Filter

The market for IoT- and AI-enhanced edge use case solutions is expected to reach an astonishing $150 billion globally by 2030. 

Are you ready?

Edge, IoT, and AI enable enterprises to capitalize on real-time automation, maximizing each other’s potential to enable powerful real-time automation use cases. 

But you’ll only be able to fully capitalize on the AI-Edge-IoT convergence with the right foundational technology supporting your business. 

Read this special report from Volt and STL Partners to learn:

  • Why automated, high-speed intelligent decisions are so important for industries like manufacturing and automotive. 
  • The main technological challenges that are preventing companies from fully capitalizing on automation. 
  • Why recent tech advancements have put us at an “automation inflection point”. 

And much more. 


Private 5G networks, also known as private cellular networks or “private 5G”, are starting to pop up in many industries, including healthcare, manufacturing, and education.

With powerhouses like Cisco getting into the private 5G game, it’s clear that private 5G networks present a major new opportunity for companies across verticals to take advantage of their super fast data transmission, lower latency, and enhanced security.

Read this paper — a completed guide to private 5G networks — to learn:

  • The current private 5G landscape and trends. 
  • Types of private 5G networks and how industries are using them.
  • The specific technologies and best data platforms required to support private 5G networks.

And much more.

Active Data Bytes LinkedIn Live Resource Card

How would one build a ticketing system that can handle the massive scale without compromising on correctness that can lead to chaos? In this episode of Active Data Bytes, we dive into the complexities and challenges of designing ticketing systems that not only manage massive volumes of transactions but do so with accuracy. We discuss an event-driven approach using Volt to implement adaptive pricing at scale without selling the same seat twice!

Active Data Bytes LinkedIn Live Resource Card

In this episode of Active Data Bytes, we disguss guarantees of consistency, high availability, and resiliency in the stream processing world. Seeta will explore the intersection of traditional guarantees of ACID, the CAP theorem, and stream processing guarantees like ordering and exactly-once processing. This is a great opportunity for those interested in learning more about how expectations for guarantees are evolving and how the different technologies fare against them.

Active Data Bytes LinkedIn Live Resource Card

Streaming Databases are suddenly the ‘it’ technology, but what is more hype than real, or worse, ‘brave’? Join Active Data Bytes episode 1, What is a Streaming Database?, where we share our insights and explore the:
🔻 Features of streaming databases
🔻 Pros and cons of common architectures that use streaming databases
🔻 Technical challenges to enabling enterprise-scale applications with real-time decisioning, regardless of scale, speed, or complexity of data

Proper streaming data solutions are built to extract all the value data holds at the moment of maximum benefit. Don’t let a compromised data architecture limit you from delivering on that promise.


HPE and Volt for Faster Transformation

Read this brochure to understand why Volt has joined the HPE Partner Ready for Technology program to help companies accelerate innovation and bring transformation that adds value, achieves business needs, and increases market share.


Telcos and vendors have invested significantly in their private network offerings over the past few years. This has seemed a safe bet, with private networks promising to accelerate digital transformation across verticals, and therefore offering telcos a way to monetize 5G in the enterprise space.

However, the market has not achieved the growth that many providers had bet on in recent years. While there has been a lot of activity, the vast majority of deployments have been PoCs and only a limited number have scaled to commercial, production level… So, what can telcos and their partners do to overcome the barriers to scale and accelerate the market – realising a portion of the promised billion dollar opportunity?

In this on-demand webinar, we explore how providers can capitalise on the opportunity by overcoming supply and demand side barriers to drive scale in the market. The key questions answered include:

  • Which use cases and verticals have been driving growth in 2023?
  • What are the critical supply side barriers to growth?
  • What are the demand side barriers to growth and concerns prospective customers are raising?
  • How can providers overcome these barriers to accelerate the market and capture their share?

One of the biggest challenges facing CSPs today is identifying which metrics are most representative of a customer’s experience and how to combine them for customer-facing teams and network operations to proactively act upon them. It is critical to have a comprehensive computation model for measuring CX value accurately that not only takes into account real-time signals on customer sentiment across operations (Chat conversations, POS, Social, Network Usage and Back-end systems) but also the subscription and usage behavior dynamics in response to various network and CX transformation initiatives.

An objective analysis into CX Value creation provides actionable insights for various customer facing teams to adapt their decisions and actions for optimizing returns on CX investment.

In this webinar with Flytxt we will discuss:

  • How does AI improve customer experiences across high speed, low latency networks?
  • What are the components of a successful CX value measurement framework? How to bring in actionability?
  • How near real-time network KPI measurement and Generative AI-driven actions can elevate customer experiences?
  • What are some of the winning use cases in CX Value measurement?

Edge and IoT are converging, creating massive new opportunities for organizations needing or wanting to capitalize on real-time data. By building specialized business models, Edge IoT providers can take full advantage of this market opportunity. 

Volt and STL Partners interviewed 25 people entrenched in the Edge IoT ecosystem, including those with operators, vendors, and IoT platform providers, to better understand the strategies and technologies driving the newest and biggest Edge IoT use cases. 

We’ve distilled our findings into this report. Read it to learn:

  • Why IoT and Edge need each other. 
  • What’s stunting growth in the market for Edge IoT solutions. 
  • How tech players should take vertical solutions to market. 
  • Which Edge IoT business models will drive adoption. 

And much more. 

Download the report to dive in.


Industrial IoT deployments are only getting bigger and more complex. The companies relying on them require real-time data processing at the core of their data platform to be able to quickly and efficiently manage the volume and variety of data these IoT deployments produce. 

But very few organizations are truly ready for what’s coming: a perfect storm of 6G, Industry 4.0, edge computing, and artificial intelligence. The resulting data maelstrom will force a change in the way companies process their data. 

Read this whitepaper to learn:

  • The current IoT landscape and the verticals most in need of real-time decisioning. 
  • How the convergence of IT and OT is benefitting edge-based data management. 
  • Where companies need real-time decisioning the most to fully capitalize on the new industrial IoT age. 
Solution Brief
Industry Brief

Smart cities are on the rise, but to make them truly intelligent and efficient, one critical factor must change: the way we process data in real time.

To be truly ‘smart,’ a city must be ‘connected.’ And ‘connected’ means many moving parts working in harmony, which requires your data platform to be:

  • Fast: Speed is paramount.
  • Accurate: Precision is key.
  • Reliable: Downtime is not an option.

Without these capabilities – speed, accuracy, and resiliency – your smart city will lack the vibrancy it deserves, and instead, resemble a ghost town.

Read this solution brief to learn how the Volt Active Data Platform is uniquely designed to support the real-time data processing requirements of today’s – and tomorrow’s – smart cities.

Solution Brief
Industry Brief

Real-time data has become the lifeblood of resilient supply chains, enabling things proactive monitoring and vital, end-to-end visibility. 

But there’s more to it than that. 

Orchestrating the complex networks of devices and operations that make up a typical supply chain is an incredibly challenging and complicated task requiring a special kind of data platform.

This solution brief explains how Volt Active Data supports supply chain resiliency. Read it to learn:

  • The key technologies transforming global supply chains. 
  • Why real-time data has become so important in supply chains. 
  • How Volt supports real-time data processing capabilities. 

Private networks have become a mission-critical business resource, enabling end-to-end ownership and local management that delivers real-time information and intelligence to authorized personnel and third parties. 

But SLAs can get in the way. Comprehensive and robust private network SLA management is essential for achieving business goals. 

The foundation for this success? Being able to make quick decisions on accurate, relevant, and consistent data. 

Read this report (including a Q&A with Andrew Keene, private network expert and Head of Product Management at Volt Active Data) to learn more about how private networks are evolving and the types of supporting technologies they require to work well.


In the fast-paced world of Industry 4.0, the question is clear: What should remain at the enterprise edge, and what should find its place in far-off cloud data centers? The answer is not as straightforward as you might think. The challenge lies in the intricate design and implementation of digital change infrastructure for critical industries. Everything seems to be bespoke, and there are no one-size-fits-all solutions. But is it really true that there are no rules?

Let’s explore the landscape of Industry 4.0 and the critical-grade industries that shape it. In a world where everyone seems to be saying, “There are no rules,” we find, in fact, that there are some guiding principles, or “rules-of-thumb.” Even industry giants like Siemens acknowledge the presence of these rules, whether they admit it directly or not.

Things like latency, bandwidth, privacy, and security are at the heart of the decision-making process for edge computing. However, what exactly constitutes the right balance between these factors is not universally defined. 

This report explores the rules behind what it takes to find that increasingly important balance to optimize 5G Edge technology. 


Navigating the world of edge computing and IoT can seem daunting, but it doesn’t have to be. Watch this on-demand STL Partners webinar as we break down the complex interplay between these two groundbreaking technologies.

What You’ll Discover:

  • Unravel the mystery behind what an edge IoT platform truly is.
  • Identify which sectors are perfectly poised to capitalize on edge IoT platforms.
  • Explore the applications gaining momentum and redefining the marketplace.
  • Learn how companies are rolling out edge IoT platforms for optimal impact.

Whether you’re an executive aiming to stay ahead of the curve or simply intrigued by the vast potential of edge IoT platforms, this webinar will equip you with the knowledge you need.


It’s happened. The great convergence. Edge and IoT have converged to create a whole much greater than the sum of their parts, opening up both new use cases and new challenges for companies seeking to take full advantage of Edge/IoT technology. 

In this report, STL Partners and Volt Active Data explore the data platform requirements for companies seeking to exploit the Edge/IoT opportunity. You’ll learn:

  • How to differentiate an edge platform from an IoT platform
  • The market forces driving needs for edge and IoT
  • How a converged edge-IoT platform works 

And much more. 


One of the biggest challenges facing CSPs today is identifying which metrics are most representative of a customer’s experience and how to combine them for customer-facing teams and network operations to proactively act upon them. It is critical to have a comprehensive computation model for measuring CX value accurately that not only takes into account real-time signals on customer sentiment across operations (Chat conversations, POS, Social, Network Usage and Back-end systems) but also the subscription and usage behavior dynamics in response to various network and CX transformation initiatives.

An objective analysis into CX Value creation provides actionable insights for various customer facing teams to adapt their decisions and actions for optimizing returns on CX investment.

In this webinar with Flytxt we will discuss:

  • How does AI improve customer experiences across high speed, low latency networks?
  • What are the components of a successful CX value measurement framework? How to bring in actionability?
  • How near real-time network KPI measurement and Generative AI-driven actions can elevate customer experiences?
  • What are some of the winning use cases in CX Value measurement?
Business Overview

What makes Volt Active Data so special?

Read this overview of Volt to learn more about why we are the real-time data processing data platform of choice for companies worldwide. 

Check out this document for a high-level overview of:

  • Volt architecture
  • Volt use cases
  • Volt customers

And learn why Volt is the real-time data platform leader. 


Deep-Dive into the Importance of End-to-End Latency for Edge and IoT Use Cases

In today’s hyper-connected digital landscape, speed is paramount. Whether it’s the loading time of a webpage, buffering during video streaming, or the processing of critical transactions, latency is the linchpin of user experience and overall system performance. The ability to achieve low-latency connectivity, swift data movement, and rapid decision-making is the key to seizing opportunities and averting risks in real-time.

In partnership with Redpanda, this recorded webinar explores the vital concept of end-to-end latency and its pivotal role in diverse edge and IoT applications; from optimizing payment processing and streamlining industrial automation to building smart cities and enabling early anomaly detection.

Watch now to learn: 

  • The hurdles faced when striving to minimize latency on suboptimal systems
  • Best practices and techniques to optimize latency throughout your ecosystem
  • The latest innovations designed to help you achieve and measure lightning-fast performance across your applications and services

What stays and what goes?

The grand combined promise of 5G networking and edge computing for enterprises is to max out the performance, reliability, and security of mission- and business-critical Industry 4.0 systems. But which workloads should always stay on-premise, for reasons of security and performance, and which can be diverted to the cloud to take advantage of the stretching economies of hyper-scale?

In partnership with RCR Wireless, ABI Research, and Kyndryl, this panel presentation details:

  • Industries that benefit most from all-edge computing and networking
  • When and why enterprises should consider adopting new edge solutions
  • Application performance, cyber-security, and bandwidth constraints
  • Which critical workload tasks should be hived off from the edge to work in the cloud?
  • How enterprises should rationalize the usage of edge and cloud for processing IoT/OT/IT workloads
Business Overview

Private networks have become a mission-critical business resource that delivers real-time information and intelligence to authorized personnel and third parties. Edge computing has enhanced the performance of this process and private networks have enabled end-to-end ownership and local management. Real-time SLAs that trigger automated actions complete the picture.

Learn more about these developments in TM Forum’s Q&A sit-down with Andrew Keene, Head of Product Management for Volt Active Data.


Artificial Intelligence (AI) is transforming the telecommunications sector, and the rise of powerful generative AI tools like ChatGPT is at the forefront of this revolution. Companies, including operators, are making significant investments in things like generative AI to revolutionize operations and unlock exciting new growth opportunities.

Our latest report, brought to you by RCR Wireless News, explores the expanding role of AI in the telecommunications industry. 

This report is your gateway to understanding how AI is reshaping the telco landscape. You’ll learn: 

  • How operators are strategically embracing generative AI to stay ahead in the competitive telecommunications market.
  • The advantages and potential challenges of deploying generative AI at the network edge and on devices.
  • The game-changing potential of standalone 5G for automating enterprise services and revolutionizing the way businesses operate.

Get your copy now. 

Technical Paper

Both IoT and Edge promise to change the world as we know it in various ways, but harnessing the power of these technologies isn’t easy. In this special report, TM Forum delves into IoT and the critical role of edge computing in driving innovation and digital transformation.

Read it to learn about:

  • The IoT landscape and its evolution
  • How edge and IoT converge for monetization opportunities
  • Real-world examples of how industries such as manufacturing, healthcare, and transportation are leveraging both technologies

And much more.

Technical Paper
Technical Paper

From Kinesis to Google Cloud Platform, Snowflake to Databricks– it’s never been a better time to be in the market for a platform that can support streaming data. 

But which one should you choose and why? And how do they complement each other?

In this guide to streaming data platforms, we’ll look at all of the major platforms, reviewing their advantages and disadvantages, plus their architectures. We’ll also look at what overall characteristics to look for in a streaming data platform. 

Platforms covered include:

  • Azure
  • Kinesis
  • GCP
  • Databricks
  • Snowflake
  • Kafka

Go ahead and dive in. 


Edge and IoT are starting to overlap in ways people had expected and other ways that people hadn’t expected. 

To figure out exactly what’s going on, we conducted an in-depth survey of experts, analysts, and professionals within both the IoT and edge spaces (including operators, vendors, and executives) to understand how these two powerful technologies are beginning to combine to create capabilities far greater than the sum of their parts. 

Read this exclusive report to learn:

  • How edge and IoT can be combined to unlock huge benefits for enterprises. 
  • Which horizontal use cases are best placed to capture demand in the short, medium, and long term. 
  • Which verticals can adopt these use cases in isolation or in combination to unlock bottom-line benefits for enterprises. 

Download the report now to get these insights and capitalize on your chance to take full advantage of edge and IoT technology.


5G monetization is evolving rapidly with other technologies such as machine learning, edge computing, and IoT. But the truth is: the telecoms industry is still trying to solve the 5G monetization puzzle.

In our 5G Monetization Forum, carriers, vendors, analysts, and other 5G stakeholders came together to discuss why 5G hasn’t yet fulfilled its promises around new service revenue, and figure out how it can start to deliver on these promises.

Read this report to learn:

  • Why 5G alone can’t move the needle
  • Three megatrends shaping 5G monetization efforts
  • Why the shift to 5G standalone requires OSS/BSS re-alignment
  • How the drive for sustainability could affect the quality of service

And much more.


In the first webinar in the Edge IoT platform series, STL Partners and Volt Active Data brief executives on use cases and monetization models at the intersection of edge compute and IoT.

Key questions covered include:

  • What is an edge IoT platform?
  • Which verticals are prime candidates to take advantage of edge IoT platforms?
  • Which use cases are gaining the most traction within the market?
  • How are edge IoT platforms beginning to be deployed for these use cases?
Case Study
Case Study

i2i Systems Leverages Volt to Support One of Turkey’s Biggest Telco Providers

i2i drops Oracle TimesTen for Volt and gets more than they expected.

Highly Available


Highly Scalable



ACID-Compliant Transactions

About i2i Systems

i2i Systems is an information technology company that primarily designs solutions for the telecom industry. Headquartered in Istanbul and founded in 2007, the company employs roughly 350+ engineers. Over the years, i2i Systems has developed strong relationships with many large telco players in Turkey.

Business Overview
The Challenge

Challenge: Processing Transactions with Minimal System Downtime

In 2019, one of the biggest telecommunication companies in Turkey, a company with 25 million subscribers, put out an RFP seeking a vendor that could deliver an online charging system that was highly available, highly scalable, geo-redundant, and capable of processing 100,000 transactions concurrently in 30 milliseconds or less. 

i2i Systems had been using Oracle TimesTen as an in-memory database, but as an older solution, that product couldn’t meet all of these requirements. Plus, it was getting quite expensive.

“It was very difficult for us to achieve those requirements with Oracle,” explains Mennan Tekbir, Principal Solutions Architect at i2i Systems.

Solution: A Highly Scalable Data Platform Built to Process Data in Real Time

To win the business of this major telco, the i2i Systems team began looking for a new solution. After working on a project with Openet and realizing they used Volt as their data platform, Mursid Ozdemir, a chief architect at i2i Systems, began evaluating Volt Active Data with his team. After studying it for a bit, they came up with a list of questions and reached out to Volt.

“The way they responded — the amount of detail, the work they put in — it was very impressive,” Ozdemir says. “We thought, ‘These guys look good, they look responsive, the support team is good, and the product is good.’”

With the deadline for the RFP approaching, the team had to make a decision quickly. They went with Volt, and they haven’t looked back since.

The Solution

“When we started the program, we weren’t sure we could meet those SLAs. With Volt, we’ve exceeded them.”

–  i2i Systems Principal Solutions Architect, Mennan Tekbir

The Results

Results: Achieve High Availability With No Service Loss

The choice to build its online charging system on top of Volt proved to be a shrewd one. Not only did i2i Systems win the business, but they’ve also kept the customer delighted ever since. 

“When we started the program, we weren’t sure we could meet those SLAs,” Tekbir continues. “With Volt, we’ve exceeded them. If we chose another in-memory database, I’m not sure if we could have achieved the high availability, geo-redundancy, or latency requirements.”

i2i Systems’ online charging system integrates with network nodes that are responsible for managing voice, data, and SMS traffic. All nodes come to the online charging system to check in real time whether the subscriber has enough credit to make a call; if not, the subscriber is charged in real time. Since all subscriber data — including phone numbers (MSISDN, IMSI numbers), subscriber & product characteristics and products purchased — subscriber balances and credit data needs to be accessed very quickly and reliably to make this work, all of this information is stored in-memory in Volt.


Solution Brief
Solution Brief

Hyper-personalization has clearly moved from buzzword to bedrock technology—something most companies need in some form or another to survive. 

The problem is that most organizations aren’t set up with the right data platform to support their application’s hyper-personalization needs:

  • Can your data platform process data in single-digit milliseconds?
  • Can it maintain a smooth, low-latency customer experience even when data centers go down?
  • Is your hyper-personalization in fact subtracting value by going too slow, missing opportunities, or sending the wrong opportunity to the wrong customer at the wrong time?

Download this solution brief to learn how Volt supports some of the world’s most advanced and demanding hyper-personalization plays, and why Flytxt, a global leader in customer value management, chose Volt to power its own hyper-personalized applications. 

Solution Brief
Industry Brief

Fantasy sports platforms are rising rapidly in popularity. But with scale comes certain issues, such as a less-seamless user experience. 

Read this industry brief to learn:

  • The specific technology-based challenges most fantasy sports apps face as they scale 
  • How to resolve these challenges without overwhelming your resources or budget
  • The kind of data platform required to support a rapidly growing and widely used fantasy sports application
Case Study
Case Study

Flytxt leverages Volt to process 4 Billion events per day.

Flytxt Turns to Volt to Maximize Customer Lifetime Value

Intelligent Decisions

Low Latency



Stack Simplification

Stack Simplification

A pioneer in marketing and AI technology…

Flytxt specializes in customer lifetime value management solutions for subscription- and usage-based businesses within the telecom, banking, utilities, (online) media and entertainment, and travel sectors. Customers benefiting from the real-time insights Flytxt’s solutions provide include MTN, Orange, Vodafone, Zanaco Bank, Lycamobile and Dlight.

Combined, Flytxt’s customers have more than 700 million subscribers in 50+ countries. To better support their rapidly growing subscription audiences, Flytxt needed a far more powerful data platform, one that enables easy capitalization on real-time data to drive revenue growth and build customer loyalty.

The Challenge

Challenge: Capitalizing on the Value of Real-Time Data

Flytxt’s solutions offer insights, recommendations, and actions that enable companies to increase revenue, reduce churn, improve customer experience, and generate new revenue streams.

Fast data, or data in motion, is data that gets processed as it streams in through an application, enabling real-time analysis and decision-making. The nature of Flytxt’s model — upselling, cross-selling, and providing companies with real-time insights and analysis — requires a fast data approach.


Solution Brief
Solution Brief

Evolve from ‘moving data at scale’ to making real-time decisions on increasingly complex data streams.

Kafka is a powerful messaging queue that has become a core component of many enterprises’ tech stacks. But using Kafka to the fullest, especially in a time when 5G, IoT, and machine learning are amping up data volume, velocity, and complexity, is not an easy task, and many companies are finding their Kafka investments in dire need of some TLC as they struggle to keep up with the data scale and velocity that Kafka brings.

Volt is an ultra high-speed decision making engine that will allow companies to apply the power of the Volt Active Data Platform to problems that can’t be solved by other Kafka ecosystem products.

Read this solution brief to learn:

  • Why companies struggle so much with Kafka
  • How Volt solves Kafka challenges
  • The specific architecture of Volt + Kafka
Business Overview

Read this eBook to learn about AI implementation challenges, the deployment of machine learning models, and how the Volt Active Data Platform helps you with both so that you see a return on your AI/ML investments.

Download the eBook to learn more.


In the age of remote work and digital transformation, creating a great customer experience has become one of the most essential initiatives for companies of all types. 

One of the biggest enablers of delightful customer experiences is data processing speed, and two major components of data processing speed are edge computing and IoT. 

This report by Beecham Research investigates the relationship between customer experience, edge, IoT, and hyper-personalization, examining how companies are embracing these new technologies and the types of infrastructural changes they’re making to ensure success. 

Read the report to learn:

  • Why edge computing is key to digital transformation
  • How IoT use cases are contributing to hyper-personalization efforts
  • What having an active data layer means for great creating customer experiences

And much more.

MEC Operators on the edge webinar featured image

Edge computing – and more specifically multi-access edge computing (MEC) – has been identified by telecoms operators as a major opportunity, particularly when used in conjunction with 5G. While there is no shortage of 5G MEC use cases there is a distinct lack of business cases.​

This on-demand webinar explores the plans of those operators that have committed to edge deployments and understand the business models and partnerships behind them.​

TM Forum MEC Operators at the Edge Report Featured Image

Juniper Research predicts that global MEC spending will grow from $8.8 billion in 2022 to $22.7 billion by 2027.

But the multi-access edge computing (MEC) and its various potential use cases are still very much a work in progress. Telco operators are still feeling out how to take full advantage of MEC and still trying to find which edge strategies work best. 

This TM Forum report explores how major CSPs are doing with their MEC deployments and what they’ve both learned and achieved since 2020 around MEC. 

Read it to learn:

  • The major drivers for CSP investments in MEC
  • Why edge services are important to operators
  • Whether 5G core is still important for CSPs

And much more.

5G Orchestration: A Critical Enabler of New Revenue Streams Webinar

New revenue opportunities (e.g. 5G, edge computing) are emerging for telecoms operators, but their technology ecosystems are becoming more complex.

To realise maximum benefit from these opportunities, operators must prioritise efforts and optimise how they orchestrate their increasingly interconnected underlying systems.

This STL Partners webinar, explores where operators could grow and orchestration’s role in making this growth a reality, discussing key questions such as:

  • Which propositions should operators prioritise to monetise and drive growth?
  • What are the biggest challenges facing operators in the next 5 years?
  • How should operators transform to meet these opportunities and challenges?
  • To what extent will cloud-native orchestration solve the underlying complexity in technology ecosystems?
  • How will orchestration to enable operators’ next-generation 5G offerings?

The real 5G revenue opportunity lies in new enterprise use cases such as network slicing. But sadly, most of today’s telco business support systems aren’t ready for a truly 5G future. They lack the ability to:

  • Monitor dynamic services for device volumes at scale
  • Support low latency, real-time processing
  • Meet 5G standards and adopt open frameworks
  • Properly orchestrate their systems for 5G

And more.

Yes — 5G offers the potential for massive business growth over the next five years via new revenue streams. But to unlock these new growth engines, most companies are going to need to significantly revamp their tech stacks and change the way they approach key telco technologies, such as billing and charging systems.

This joint report with STL Partners highlights the challenges today’s telcos face in monetizing 5G and the specific steps they can start to take, right now, to best prep their IT architectures for success in the 5G age.

Download the report to find out.


This VanillaPlus webinar with FlyTxt discusses how AI and Edge are creating new revenue opportunities from hyper-personalization, along with key considerations for optimizing your customer engagement strategy to maximize CX and Customer Lifetime Value.

Key takeaways/questions addressed:

  • What is the market opportunity for hyper-personalization? (Beecham Research)
  • Why does it matter? (Beecham Research)
  • What are the top 3 steps to excel at hyper-contextual customer engagement? (Flytxt)
  • Flytxt has many customers leveraging their data platform for hyper personalization. What are they seeing in the market and where do they see future opportunities? (Flytxt)
  • How does an in-time decisioning data platform make your hyper-personalization strategies more effective? (Volt)
Business Overview
Business Overview

Read this paper to learn why 5G standards demand better latency, why tech stacks have become so complicated, and how the right data platform can both simplify your tech stack and naturally lower your TCO as a result of that simplification. 

5G is Changing Data Monetization for CSPs
Solution Brief

Read this paper to learn what 5G is changing, data-wise, for CSPs, and how and why the Volt Active Data architecture was designed to address the real-time point-solution requirements of CSPs in the age of 5G.


Telco operators are expected to provide ‘five nines’ uptime, but hyperscalers generally don’t promise more than ‘four nines’, and even that commitment tends to be heavily hedged. This means that moving to public cloud creates an implicit requirement for Active-Active systems, as the data lives in and is also changed in two or more geographic locations at the same time. 5G does not make things any simpler, as it heralds a massive expansion in traffic volume of traffic, with 1 ms latency expectations in certain scenarios. In larger geos – such as the US – this means that data will be getting changed in a latency window far too short to inform or check with a remote data center, which implies significant additional complexity

In addition, edge computing uses geographical proximity to get ultra-low latency, but there is still a need for centralized management and control, which implies that data management will be both complex and distributed.

To meet these requirements back end systems need to be either Active-Active or Active-Active-Active and above. Regardless of how this is done, it’s still  ‘bleeding edge’ and hard to do. Legacy RDBMS will have an extremely limited role here, but what capabilities does the underlying database technology need? What are the non-negotiable requirements that will drive choices?

Key questions that will be addressed in the workshop;

  • Why is activex3 (and beyond) going to be necessary? 
  • Why will 2 data centers not be enough?
  • What will be the business benefits from this opportunity?
Business Overview

As humans, we are hardwired to want things now. Instant gratification impulses are a powerful force, and the current real-time economy reflects this. Transactions between business parties are digitized, increasingly automated (ie, M2M communication, IoT, Artificial Intelligence, and machine learning), and completed in real time. Satisfying this need for instant gratification in tandem with optimal business value is leading a big surge in vendors trying to create a new breed of applications that use real-time decisioning.

But real-time decisioning is impossible without the right kind of foundational data platform supporting your applications’ ability to quickly ingest and act on data. Without a platform that can actively support your data needs by providing contextual intelligence and ensuring you use only what’s needed (as far as data), you will end up right where you left off: slowly falling behind the disruptors.

This paper provides six use cases for real-time decisioning and real-world examples of how businesses are making the most of their streaming and 5G-enabled data using the Volt Active Data Platform.


How are companies planning to invest in 5G?

Our webinar on the 5G Policy Control Function took the pulse on where today’s telco industry execs are placing their 5G bets. Check out our infographic to see how they responded to our survey on 5G investments.


This report aims to address one of the biggest questions around 5G: How do you monetize it? Thanks to technological advancements, spectrum access liberalization, and changing user habits and demand, there are emerging opportunities — and challenges — for operators to transform their business from a connectivity provider to a holistic end-to-end solutions provider.

Download the report to learn more.


With some operators projecting MEC-related service revenues in the 2022 timeframe, what’s the current state of play? Beyond operators building out new compute infrastructure, how can existing public cloud infrastructure and on-prem enterprise equipment be leveraged to more quickly deliver on latency-sensitive use cases and accelerate time to revenue?

Given that MEC is simultaneously in the purview of operators, hyperscalers and enterprises, how is this dynamic impacting delivery and consumption models?

Download the report to find out.


New 5G services and applications will require CSPs to draw on multiple sources of network information to optimize resource allocation — and that means tech stacks must be able to optimize 5G-based policy control function (PCF). Explore how PCF is evolving from PCRF and why it is key to service delivery in the 5G era with Domenico Convertino, VP Product Management Telco & Media, HPE and Volt Active Data Chief Product Officer Dheeraj Remella.

HPE and Volt Active Data industry experts discuss:

  • The current PCF landscape, including the evolution from PCRF to PCF.
  • How CSPs are optimizing PCF to gain a competitive advantage.
  • How to expand the role of PCF to support use cases ranging from network slicing to fixed mobile convergence to dynamic backhaul policies for industrial IoT use cases and assured quality of service.
  • Why real-time data in the evolution of PCF is critical to the success of enterprises using 5G-based applications.

View the on-demand webinar now to learn how HPE and Volt Active Data are supporting leading CSP’s in optimizing policy and charging functions that deliver flexibility and innovation to the next generation of 5G applications.

Business Overview
Business Overview

Read this paper to learn the challenges of monetizing 5G and how to monetize 5G via business support systems, downtime elimination, customer management, and fraud prevention.


The B2B market opportunity for CSPs is growing rapidly and in ways service operators couldn’t have predicted even just a few years ago.

We took the pulse on the telco B2B market by surveying 200 telco industry participants, from consultants to executives, on what they’re seeing and how they think they can best prepare to tackle this massive opportunity. 

Download the report to find out:

  • Which B2B services have the most potential
  • Why security solutions are particularly attractive for CSPs
  • The state of the IoT services market
  • Why cloud services could be particularly profitable for CSPs
  • The importance of rethinking go-to-market strategies in this new era
  • What CSPs can do to make the most of these new opportunities

And much more.

Technical Paper

Thanks to 5G, IoT, and their related technologies, being able to manage streaming data at scale and without breaking the bank in infrastructure costs has become critical for the success and survival of any digital enterprise. 

Unfortunately, most of today’s enterprises aren’t well-equipped to manage streaming data because they haven’t bothered to revamp their tech stacks for agility in data processing. Real-time data is extremely valuable, but only if you have the right tools to unlock that value. 

Read this technical paper to learn:

  • Why streaming data has become so critical for modern-day applications. 
  • Real-world streaming data use cases. 
  • Key IT architecture considerations to best take advantage of your streaming data. 
Technical Paper
Technical Paper

And how Volt Active Data’s Lossless XDCR Changes the Game.

This paper discusses how 5G is changing enterprise needs around latency and XDCR, what active-active XDCR is and why it’s such a challenge to successfully implement for so many companies; and finally, how Volt Active Data does active-active XDCR in a way that avoids conflicts and also allows for total fault tolerance and sub 10-millisecond intelligent decisions on complex streaming data without losing any data accuracy or consistency.

Download this technical paper to learn how Volt Active Data is redefining what’s possible with Active(N)™ Lossless XDCR.

Business Overview

Network intelligence has rapidly evolved over the last several years, particularly with the explosion of 5G and IoT technologies across all functions of business and daily life. Networks have become increasingly complex as companies constantly add new technologies, products, and services to their networks. Enterprises are inundated with more data than ever before—data that is extremely valuable to optimizing their operations, delivering exceptional customer experiences, and ultimately increasing revenue and decreasing revenue loss.

Keep reading to learn more about Volt Active Data’s ability to execute complex logic on millions of streaming events to make critical decisions and trigger actions in under 10 milliseconds.

Case Study
Case Study

SAKURA Internet


Printer Download Icon

SAKURA Internet, one of Japan’s largest data centers, provides a complete range of services for enterprise-grade customers whose profitability and survival depend on their networks staying up. With a modern data center powering its worldwide operations, SAKURA offers website and email hosting, virtual private networks, elastic cloud, data center solutions, and business continuity planning. 

Delivering an always-on experience, without any downtime or data quality loss, is essential to SAKURA’s core business. Like other operators, they are regularly targeted with distributed denial-of-service (DDoS) attacks that flood the targeted customers with fraudulent traffic and keep them offline. To minimize downtime and deliver secure, high-speed, and highly available internet and data services, SAKURA developed an innovative DDoS attack mitigation solution and leveraged Volt Active Data’s high-velocity decisioning engine to do it.

The Challenge

The Challenge

Mitigate DDoS Attacks in Real Time

One in three US businesses have experienced DDoS attacks. A single attack costs between $2.3 million and $4 million, with a median downtime of 7 to 12 hours. Cybersecurity experts logged 10 million DDoS attacks in 2020, averaging over 27,000 in a day. 

“Keeping customers connected at all times is of vital importance to SAKURA given the ever-increasing range of applications and services being delivered and consumed online,” said Tamihiro Yuzawa, a SAKURA network engineer. “Unfortunately, large-scale DDoS attacks directed toward service providers and private enterprises have demonstrated all too clearly that traditional perimeter defenses are not enough to combat today’s sophisticated DDoS attacks.”

And the stakes are ever-increasing. With 5G-enabled IoT devices, networks now need to support a million connected devices per square kilometer. Taking advantage of this proliferating connectivity, hackers can grab control of millions of vulnerable devices, servers, routers, and other network nodes and use these to launch wide-scale, highly damaging DDoS attacks.

The Solution

The Solution

Real-Time Attack Prevention

As fraudsters find increasingly sophisticated ways to attack networks, operators need to evolve their defenses as well. 

SAKURA was employing remotely triggered, designation-based black hole routing to counter large-scale DDoS attacks and avoid collateral damage for customers that share an uplink with the DDoS target. Unfortunately, this can cause legitimate traffic to be blackholed or discarded, making it difficult to forward legitimate packets to customers under DDoS attacks. SAKURA turned to Volt Active Data to solve this problem. 

“We began revamping our in-house DDoS detection application with Volt Active Data’s high-velocity, in-memory relational database as its backend,” said Mr. Yuzawa. “We needed something that could not only do the heavy lifting of sFlow data processing but also tell us, in real-time, who is under attack, complete with detailed profiles including incoming bits-per-second per source IP. With this capability, we can finally move forward from d/rtBh to source-and-destination-based filtering—a critical step in the evolution of DDoS attack mitigation solutions.” 

SAKURA developed an innovative DDoS attack mitigation solution to complement traditional security measures like firewalls and intrusion prevention systems. The system learns what normal application and service traffic looks like and uses situational awareness to detect and respond to threats within milliseconds. 

SAKURA chose VolDB to power this solution. 

The Volt Active Data Platform can power real-time applications that must react in single-digit milliseconds to fight fraud and prevent revenue loss. Volt’s in-memory relational database is capable of ingesting massive IP traffic-flow data streams from SAKURA’s backbone communications infrastructure, and combines high-velocity data ingestion with real-time data analytics and decisioning in one extremely cost-effective and scalable package.

SAKURA also leveraged Volt to develop a powerful DDoS mitigation application that communicates only with controllers that will reach out and push flows to the deployed switches, ensuring data packets get to the right destination while combating a DDoS attack. 

The Results

The Results

Money Saved in Real Time

“By using Volt Active Data, we’ve been able to narrow the gap from the point of data ingestion to the point of decision-making from minutes, or even hours, to milliseconds,” said Yuzawa. “What’s more, we were able to implement a scalable monitoring application at a fraction of the cost of expensive commercial applications.”

SAKURA leveraged Volt to create an innovative DDoS mitigation system and integrate that system with its own defense networks. 

The result? 

A lean, clean, and cost-effective anti-DDoS solution that crushes DDoS attacks, saving SAKURA’s customer’s millions of dollars (upwards of $5,000 a minute). 

Solution Brief
Solution Brief

IoT is moving from being a source of entertainment to a generator of business value. While public attention mostly revolves around consumer IoT and hardware, the real complexity —and opportunity— of the sector lies in the command, control, and communications mechanisms that allow IoT devices to generate monetization opportunities in the Enterprise IoT (IIoT) space.

Read this solution brief to learn why the Volt Active Data Data platform is the only data platform that can manage enterprise-grade IIoT deployments at scale without compromising on latency or data accuracy.

Solution Brief
Solution Brief

5G and IoT present an unprecedented opportunity for companies to up-level their billing mediation systems with dynamic, consumption-based pricing that attracts and retains more customers by giving them flexible payment options.

Real-time billing mediation is the new standard, but to achieve true real-time mediation you need a data platform that can handle rapid streams of data at scale without compromising on data accuracy.

Read this solution brief to learn:

  • Why enterprises are struggling with billing mediation
  • The role of ultra-reliable low-latency communications
  • How Volt Active Data specifically supports modern billing mediation systems
Business Overview

We live in an age of network slicing, modular pricing structures, and shrinking user attention spans.

As the number of data processing scenarios proliferate wildly with the number of data inputs from an increasingly connected world, telcos are finding themselves at a unique crossroads. On one hand, they have a chance to capitalize on their data like never before. On the other hand, they risk experiencing data (and revenue) loss like never before, as their data streams turn into data torrents that threaten to topple their legacy infrastructures.

This paper explains why Volt Active Data is the best platform for telco mediation and how we address today’s most challenging mediation use cases.

Business Overview
Business Overview

This paper explores why IIoT success in the fast-data age boils down to whether your database technology can handle the unprecedented demands of today’s technologies, such as 5G. You will also discover the key attributes a modern, IIoT-ready data platform such as Volt Active Data must have to allow your applications to address and take full advantage of the opportunity of IIoT.

Technical Paper

Volt Active Data is the leading data platform designed to power real-time telco and other applications that must dynamically react in single-digit milliseconds to drive revenue and prevent revenue loss.

This overview features the top 10 application- and operational-level capabilities of the Volt Active Data Platform, which, when combined, enable enterprise-grade applications to seamlessly manage the 5G/IoT fast-data explosion and use it to unlock massive new revenue growth.

Business Overview
Business Overview

Volt Active Data is a fast in-memory data platform for latency-dependent applications requiring:

  • Orders of magnitude better performance than a conventional RDBMS — 100x faster
  • SQL as the native data language, simplifying development and enabling richer interaction
  • ACID transactions to ensure data consistency, integrity and always-accurate results
  • Built-in high availability and fault tolerance
  • Cross-datacenter replication for high availability and disaster recovery in geographically-distributed clusters
  • Geospatial query support for location-based apps

In this technical overview, we explain why Volt Active Data offers substantial performance and cost advantages over traditional DBMSs and other data platforms, making it the best choice for any enterprise seeking to deploy fast, data-driven applications requiring sub 10-millisecond intelligent decisioning.

Technical Paper
Technical Paper

The telecommunications industry is seeing a rapid and dramatic change brought about by the confluence of new technologies like 5G and IoT. Invented to make the most current data available wherever and whenever you need it, cross data center replication (XDCR) has been around for decades, but doing it with legacy technology quickly gets expensive, and now with 5G telco making things even more difficult, properly doing active-active XDCR on a legacy RDBMS has become incredibly complex and error-prone. Enterprises are fast realizing they either need to replace their database completely or risk operating at a permanent technological and economic disadvantage.

In this paper, we’ll discuss what XDCR is and why it’s needed; what active-active XDCR is and why it is such a challenge to implement for so many companies; and finally, how Volt Active Data does active-active XDCR in a way that avoids conflicts and also allows for total fault tolerance and sub 10-millisecond intelligent decisions on complex streaming data without losing any data accuracy.

Business Overview
Business Overview

5G and the New Age of BSS

The telco industry is going through significant transformation. Gone are the days when telcos could act on after-event data in their business support system (BSS) platforms. This is the 5G era — and it’s a whole new ballgame that requires lightning-fast responsiveness.

To survive in this ultra-fast and ultra-connected era, telcos need to have a robust framework in place to support real-time decisioning. By doing so, they can maximize revenue opportunities while protecting their networks against fraudsters.

Suffice it to say that the shift to real-time BSS data processing is having a massive impact on the industry. Keep reading to learn more about the important role speed will play in the 5G era, and the underlying tech infrastructure telcos need to build game-changing BSS applications designed to handle the massive volume and variety of 5G.

Solution Brief
Solution Brief

Read this solution brief to see how Volt Active Data is rising to meet the challenge of fraud prevention in the 5G era with a data platform that enables intelligent, real-time decisions on anomalous activity so that fraudulent behavior is identified and blocked before revenue leakage can occur.

Business Overview
Business Overview

The Volt Active Data data platform empowers you to get the most out of your data, even as the most sophisticated and aggressive hackers methodically test your 5G, IoT, and machine-to-machine communications for weakness. This paper covers how Volt Active Data helps telcos proactively prevent revenue leakage while still processing data the instant it is created for maximum value.


See why leading telcos are betting on Volt Active Data for real-time fraud prevention.

Read this infographic to see Volt Active Data’s approach to revenue assurance—one that is agile, flexible, and fast—and why it’s the only no-compromise data platform built for fraud prevention in today’s 5G world.

Technical Paper
Technical Paper

This paper examines how the expectations of 5G are colliding with traditional software development and deployment to wreak havoc on enterprise’s tech stacks and their related resources. 

Download it to discover:

  • A checklist of five points you’ll need to evaluate if you want to successfully upgrade your tech stack
  • Why single-digit millisecond latency requirements that can’t be achieved with more or faster hardware
  • How edge data processing is upending a decade of consolidating systems into massive regional data centers
  • How 5G’s focus on IoT impacts the long-term support for already-deployed systems

And more. 

Business Overview
Business Overview

Because Milliseconds Matter

Volt Active Data is a high-velocity decisioning engine, proven to power real-time applications that must react in single-digit milliseconds to drive revenue or prevent revenue loss.

This core competency is absolutely necessary in the telecommunications industry. Where the introduction of 5G, combined with the explosive growth of the Internet of Things (IoT), is driving a massive increase in data volume, velocity, and variety. Meeting the scale, latency and transaction consistency levels made possible by 5G is simply not possible with legacy solutions alone.

In this gap between 5G-driven SLA requirements on the one side and legacy system shortcomings on the other, lies the power of Volt Active Data to digitally transform your business. Our platform’s unique capabilities allow it to handle telco’s complex, high-velocity data requirements better than anyone else.

Volt Active Data is especially effective for these application use cases:

  • Business Support Systems
  • Billing Mediation Systems
  • Customer Management
  • Revenue Assurance

Designed to augment telco-space enterprises’ previous big data investments, such as NoSQL, Hadoop, and traditional data warehouses, as well as messaging investments such as Kafka, Volt Active Data empowers enterprises to trigger crucial in-event decisions on complex streaming data, at scale, in under 10 milliseconds, and without compromising on data accuracy—to drive revenue or prevent revenue loss in real time.

Read our corporate overview to learn how Volt Active Data is powering telco in the age of 5G.


Enterprise IoT Insights’ Industrial 5G SLAs report explores how operators and managed service providers will guarantee URLLC 5G for critical enterprise operations. Our own CPO Dheeraj Remella shares how Volt Active Data is delivering real-time intelligence to extract value in the first 10 milliseconds of any event at scale, without compromising on accuracy or reliability.

Business Overview

Volt Active Data is an in-event decisioning platform that unlocks the revenue you’re currently not getting from your 5G-enabled fast data.

This paper is a summary of what that means and why it matters for customer management.


Does your tech stack enable innovation and digital transformation
at the speed of 5G?

Read this infographic to learn how 5G is changing the customer management landscape for telcos and how telcos can better capitalize on 5G to create new monetization opportunities.

Case Study

Huawei Reduces Fraudulent Transactions 83% with Volt Active Data


Printer Download Icon

A leading global information and communications technology solution provider as well as a consumer electronics giant, Huawei has long been at the forefront of big data and digital transformation. However, the company began to realize it needed to update its data platform capabilities to be able to keep up with the increasing volume and velocity of transactional data. In the end, Huawei found a solution that not just solved its issues but produced a dramatic improvement.

The Challenge

The Challenge

Huawei’s FusionInsight is an enterprise-class distributed Big Data solution and premier analytical platform. Recognizing the value of combining Fast Data with Big Data, Huawei sought a foundational platform for expanding FusionInsight with real-time services.

The main issue was fraud analysis, where financial transactions are analyzed before they are authorized. Every time someone swipes or inserts a card or taps or scans a phone, the data platform needs to make a very quick decision about whether to authorize or decline the payment. Once an account is known-bad, it’s put on a checkable blacklist. The art is catching the fraud on the very first misused payment method. Getting this decision wrong can be expensive because you miss a fraudulent transaction, someone has to eat the cost of the purchase. Conversely, if you identify a legitimate transaction as fraud, the experience for the account-holder is poor.

To accomplish this real-time fraud analysis, Huawei needed a system that could perform hundreds or thousands of queries per financial transaction, applying user-provided logic and rules to gigabytes or terabytes of recent history, blacklists, and other state-based data.

This system would be packaged into the FusionInsight product, so it needed deployment flexibility, manageable cost, and financial-grade security.

Must Check: Best Big Data Platform

The Solution

The Solution

Huawei tried many different data platforms but was having trouble finding one that could support many millions of non-trivial queries per second and generate decision scores in single-digit milliseconds. Volt Active Data was the only system that could achieve this.

Huawei chose Volt Active Data not only for its ability to dramatically reduce current fraud detection latencies but also to automate real-time, in-event fraud detection and prevent millions of dollars in losses in doing so.

Volt Active Data was the clear only choice for Huawei’s demanding high-throughput requirements, which range from hundreds of thousands of transactions per second to more than a million per second at peak times.

Specifically, Volt Active Data offered Huawei all of the features they needed in a data platform — ie, features that enabled more powerful analytics with instant responses — including:

  • Low Long-Tail Latency
  • Operational Robustness
  • High Throughput
  • Low Operational Cost
  • Cloud and Virtualization Friendly
  • Highly Secure with Robust Auditing Built-In

At the end of the day, Volt Active Data stood alone.

Traditional RDBMS vendors would have cost more, required more hardware resources, and used multiple-levels of architecture to achieve the same result. NoSQL and other NewSQL systems couldn’t offer the query power needed to support the same levels of analysis at the same rates.


The FusionInsight platform accepts the set of user-provided rules and compiles them into a set of Volt Active Data stored procedures in a Java Jar file. The scoring procedures and dimension data (such as blacklists) are loaded into Volt Active Data and the customer is ready to analyze some fraud.

For every payment authorization, up to hundreds of procedures will be called, each with many SQL queries and different scoring logic. The client then combines the outcome of these procedures and makes a fraud decision, ultimately recording the result in Volt Active Data as well, so the record of that decision can be used for near-future fraud analysis.

The final part of the process is rule-set dynamics. Customers can change the logic in FusionInsight as often as every few minutes, meaning Volt Active Data has to accept and transactionally transition to entirely new logic without impacting load time.

The Results

The Results

With Volt Active Data, Huawei was able to log an 83% reduction in fraudulent transactions and increase its processing capacity by 10x.

Volt Active Data has significantly reduced credit card fraud detection latencies for Huawei, enabling Huawei’s customers, including financial services institutions, to implement real-time history queries and credit investigations and build new event marketing services focused on customer value management.

Read the press release announcing Huawei’s choice of Volt Active Data.

Case Study
Case Study

Volt Powers Amdocs BSS Application Framework

Major Service Provider Cuts Latencies to Under 20 Milliseconds

Printer Download Icon

Amdocs s a leading independent supplier of real-time business support systems (BSS) to communication service providers (CSPs).

Admdocs’ mission-critical applications need to bel ale to process and rapidly analyze massive volumes of streaming data in real time to ensure that more than 600 million mobile telecommunications users around the world enjoy the best network and data experience possible while enabling mobile operators to monetize data use and prevent fraud in real time.

Amdocs has been at the forefront of telecommunications software development and innovation. This is characterized by its open platform, domain experience, and engineering expertise. Its success is evident in the many long-term relationships it has fostered with the largest, most progressive and demanding telecommunications service providers across the globe.

Must Read: Event Driven Architecture Diagram

The Challenge

The Challenge

Mobile operators across the globe face the challenge of keeping up with the explosion of data brought by 5G and IoT. In trying to cope with these issues, they have increasingly turned to virtualization to improve flexibility and reduce operational overhead.

Amdocs has been at the vanguard of virtualization with many successfully deployed solutions scaling to meet the needs of the world’s leading Tier 1 service providers.

To better adapt to the world of 5G and IoT, Amdocs required a more powerful data platform for the advanced software architecture upon which all of the company’s solutions are built in order to enabvle seamless integration, centralization of common functionalities, and support for custom logic.

The Solution

The Solution

In 2012, Openet, which would be acquired by Amdocs in 2022, selected Volt Active Data as the logical choice for a data platform capable of supporting the real-time demands of mobile data.

“We wanted to move toward a higher-performance, in-memory database that could combine the capabilities of an operational database, real-time analytics, and stream processing in one easy-to-use platform,” said Openet Director of Product Development, Oisin Loftus. “We also needed a database that was elastically scalable and could grow and contract as needed.”

Since Openet solutions are always inline in a service provider’s call path, Openet required transaction latencies of less than 20 milliseconds, so performance and scalability were major requirements.

“Volt Active Data offers the TCO, performance, and scalability we need while enabling us to handle fast data and the real-time feeds of service provider traffic,” Loftus said.

With Volt Active Data, Amdocs can now offer transactional, database-oriented applications against data feeds that were previously limited to stream processing methods.

The Results

The Results

By integrating Volt Active Data’s in-memory database infrastructure to support its wide range of business support systems, Amdocs has been able to scale and automate real-time decisions.

Volt Active Data has allowed Amdocs to maximize performance, elasticity, and utilization of its application framework model.

Solution Brief

Telecommunications companies and communications services providers (CSPs) are standing at a technological crossroads. Read this solution brief to learn why Volt Active Data is the only choice for enabling an unprecedented level of offer personalization and customer management in the era of 5G.

Solution Brief
Solution Brief

Telcos need to adapt to 5G, but their legacy systems are buckling under the demand for network agility, new revenue streams, and better customer experience. Read our latest BSS solution brief to learn how Volt Active Data’s no-compromise data platform overcomes the toughest real-time data challenges to support BSS applications in the world of 5G.


How IT/OT Convergence Will Enable New 5G Business Models

Real-time decisioning intelligence is critical to telco operators’ future, as much for enabling internal efficiencies as for empowering customers to capitalize on new, 5G-related monetization opportunities.

But the evolving customer requirements, particularly in light of IoT and massive machine-to-machine (M2M) communications, means that telcos are increasingly needing to handle informational and operational data together. This confluence of IT with OT — and its proper handling — imply the unlocking or rapid evolution of certain real-time decision intelligence-related capabilities.

STL Partners has developed an in-depth report exploring these capabilities and how they relate to the new world of 5G data, including:

  • The “unspoken reality” of 5G monetization
  • The four main use cases required to unlock the full value of 5G
  • Five practical tips on how to rapidly evolve these capabilities
  • Why real-time decision intelligence is the future for telco operators
Technical Paper

Be careful what you wish for?

In the case of telcos…yes.

They wanted 5G and they got it, but many are now finding it extremely difficult to keep up with the combined data demands of 5G, IoT, and machine learning. Their tech stacks aren’t prepared, and they are questioning their database technology.

NewSQL, NoSQL, SQL: What’s the difference between them for telcos and why should they be carefully considering these differences in the age of 5G?

Our ebook explores this, plus:

  • How ACID requirements match up to telco database needs
  • Where SQL and NoSQL fall short and where they still might be useful for telcos
  • Why NewSQL are especially valuable to telcos and CSPs

The Role of the Telco

Mark Newman
Chief Analyst
TM Forum

The $40 billion-plus 5G market is expected to grow almost 40% annually through 2027, and telcos are primed to be at the forefront of this growth. However, 5G isn’t exactly an easy technology to control or manage as it involves an unprecedented level of data ingestion requiring totally new database technologies that can ingest and act on data in record time.

What are these technologies and how can telcos, and their vendors and customers, leverage them to fully capitalize on the promise of 5G?

Read our report to learn:

  • The three key technologies telcos will need to make the most of 5G
  • The two relatively new technologies enterprises will use to fully leverage 5G
  • How database architectures are changing to adapt to telcos’ real-time data needs
Solution Brief

Accelerate Your Volt Active Data Projects

Volt Active Data frequently powers applications that are mission-critical, requiring high availability, performance and reliability.

Our professional services team can help you accelerate and assure success with your projects by developing the core and advanced skills you need to develop and operate Volt Active Data most effectively. We also provide expert consulting when you need it most.

Learn more by downloading the Volt Active Data Professional Services brochure, or or contact us to discuss your training or consulting needs.


2020 was as challenging for telcos and communications services providers (CSPs) as it was for most other industries, but it wasn’t necessarily all doom and gloom. In fact, a large percentage of CSPs and their various interconnecting parts—including operators, vendors, and systems integrators—are very optimistic about 2021, and some even reported positive outcomes from 2020.

This year’s Telecoms.Com Annual Industry Survey queried 500 telco industry professionals on the status of their companies, their feelings about how 2020 transpired for telcos, the technologies they’re investing in, the trends they see building, and the trends they see fading away.

Read it to learn:

  • Where telcos stand with 5G and how 2020 has changed the 5G outlook
  • If new service offerings like QoS are on the docket and expected ROI
  • How COVID-19 affected all types of digital transformation investments for telcos
  • Where and why the telco industry is hitting snags around technologies like broadband, edge intelligence, automation, and cloud

Edge computing is critical for digital transformation. 5G, edge computing, digital transformation, digital twins, machine learning, and AI appearing together looks like buzzword bingo. But there is a rational connection between these topics and technologies. In this trend report we look at:

  • How data lakes and streams give life to intelligence at the edge
  • Why edge computing will be critical for digital transformation
  • How 5G and MEC encourage edge intelligence to become pervasive.
Business Overview

In July 2020, Amdocs announced its acquisition of Openet and, here at Volt Active Data, we couldn’t have been more excited. Because Openet has long used Volt Active Data to power its best-in-class business support systems, we wanted to share our own summary of the technology strengths Amdocs will gain as a result of this acquisition and why it is good news for the 5G space.

REPORT: Getting to Standalone 5G

Real-Time Applications and New Service Revenue Opportunities

Sean Kinney
Editor in Chief
RCR Wireless

“Data is not a database problem anymore. Data is a data problem. What is the value you’re missing with your existing choices that you can get if you think differently?”

Download the feature report where T-Mobile, Ericsson, Rakuten Mobile, Vodafone, and Volt Active Data discuss real-time applications and new service revenue opportunities in the 5G era.

Case Study


Delivering Real-Time Player Engagement for Game Developers and Publishers

Printer Download Icon

“In a quarter of a millisecond, we’re able to turn data into actionable intelligence that fosters player loyalty, extends a game’s value and increases overall game revenues.”

– Chris Wright, Co-founder and CTO of deltaDNA.

deltaDNA is utilizing the Volt Active Data high-performance in-memory NewSQL database to power its real-time game analytics and marketing platform. In-memory analytics on high-velocity data enable deltaDNA customers to instantly track, anticipate and respond to individual player behavior. Leveraging Volt Active Data, the deltaDNA platform empowers game developers and publishers to perform in-depth player analysis on colossal amounts of data streaming in from each game and take action within a quarter of a millisecond. Real-time player engagement enhances the in-game player experience and drives player retention and monetization. This innovative solution can help customers increase player retention by as much as 200% and revenues by as much as 40% by providing micro-personalization of each player’s experience.

Tracking, Anticipating and Responding to Player Behavior

deltaDNA has combined gaming industry heritage and marketing analytics expertise to create the online gaming industry’s first dedicated real-time personalization and player insight platform. With cross-platform and rich data capabilities, this end-to-end solution enables game publishers and developers to better understand different player behaviors and create personalized experiences by targeting individual players in real-time. Being responsive to players significantly increases engagement and unlocks retention and monetization opportunities. deltaDNA puts the power of data into the hands of game developers and publishers by providing a flexible platform to maximize player engagement for Free-2-Play (F2P) games, social casino games and real-money online gambling sites.

This high-performance platform analyzes the immense volumes of fast-moving data generated by each game in real-time, gathering behavioral information about each player, such as their spending behavior and skill level. With this insight, deltaDNA’s customers are able to personalize the gaming experience by changing the gameplay and making targeted offers and incentives. This can increase player engagement by as much as 50% and boost in-game purchases by as much as 30%.

“Volt Active Data is enabling us to solve a needle-in-the-haystack problem for our customers,” said Chris Wright, Co-founder and CTO of deltaDNA. “The high-performance Volt Active Data data platform gives us the ability to perform real-time analysis on hundreds of millions of events as they occur. In a quarter of a millisecond, we’re able to turn data into actionable intelligence that fosters player loyalty, extends a game’s value and increases overall game revenues.”

Increasing Player Loyalty and Engagement

The deltaDNA platform is designed to achieve hyper-fast performance on huge data sets. The back end of the platform has two state-of-the-art database clusters, with Vertica serving as the data warehouse and Volt Active Data as the in-memory, real-time database. deltaDNA uses Volt Active Data’s in-memory database to provide real-time responses to player behaviors, so deltaDNA platform users can respond automatically as their players continue to play the game. This real-time analytics approach ensures that offers to players can be made at exactly the right time to optimize player acceptance.

While some very popular games can have as many as 100 million players, game providers usually need to have four to five million players to become profitable.

Typically, only 1 or 2% of these players will spend any money. “If you can boost the number of paying players from 1% to 1.2%, you can massively increase revenues,” Wright explained. “The ability to identify a small set of very important users based on a huge number of events lets us identify players likely to spend money. We need the ability to make the right decision, based on the right data at the right time, so each gaming experience can be tailored in real-time to encourage retention.”

Keeping players engaged and enjoying themselves leads to monetization, but this requires the ability to quickly adjust the game based on the interests and skills of each player. According to Wright, “Our customers need to be able to track each player, analyze their experience, and make intelligent decisions to encourage retention so they can maximize revenue opportunities. Volt Active Data allows our customers to make the right decisions based on fast analysis of a very small percentage of a very large volume of data. We can help customers increase player retention by as much as 200% and revenues by 20-40% by providing micro-personalization of each player’s experience.”

A significant shift to FTP across all gaming platforms has made it critical for developers to increase player loyalty and engagement by creating a “sticky” experience that translates into increased revenue. Giving players the kind of game they want means being able to monitor and respond to different behaviors instantly via micro-personalization. But performing this level of in-depth analysis on high-velocity event data streaming in from games—many of which have millions of monthly active users—requires data management that’s smarter and faster than ever. deltaDNA selected Volt Active Data after performing an extensive market evaluation of big data and in-memory databases. Volt Active Data supports deltaDNA’s high throughput and scalability requirements while also enabling complex decision-making on real-time data streams. It is an in-memory

SQL database that combines analytics on live data feeds with transaction processing in a single, horizontal scale-out platform. It runs on commodity hardware in a parallel processing, shared-nothing architecture, and is built to tap the value of fast data, or data in motion.

“We needed a front-end database that could complement our existing big data analytics, ingest massive volumes of data, and enable automated decisions for each player to optimize revenue opportunities,” Wright stated. “When we looked at the databases available, we couldn’t find anything that could match Volt Active Data and could allow us to respond to each player in sub-millisecond timeframes. We couldn’t find anything else that could deliver in-memory, fast processing capabilities while maintaining transaction consistency.”

Managing the Threshold of Engagement in Real-Time

As players progress, there are inevitably points in the game when they are at rest, such as when they are between levels or moving to the main game menu system. “These moments are the ideal time to interact with players,” said Wright. “Our customers can make the next level slightly harder or easier based on user behaviors, or present targeted offers to encourage monetization. We offer the ability to analyze real-time game behaviors to instantly present the right offers or incentives at the time the player is most likely to accept them.”

All games have a broad spectrum of players reacting to challenges and rewards in their own way. Treating all players the same inevitably means that some will be disappointed with the experience and will leave the game, leading to a failure to monetize that player relationship. With ever-increasing competition in a crowded marketplace, game developers and publishers need to better understand their customers and respond to individual player behaviors to keep them playing.

Micro-personalization involves using segmentation to find groups of players who are similar, and then designing game changes for that group. deltaDNA’s platform is based on the premise of understanding that there is a threshold of engagement for all players that ranges from boredom to anxiety. When players cross this threshold, they will leave the game they are playing. Adapting the gameplay for each player segment helps keeps players engaged.

But segmentation isn’t just about player skill—game providers often find a player segment which is using a game’s social features much more frequently. deltaDNA’s platform also allows its customers to target these players with offers to keep them sharing.

Figure 1: Managing the threshold of engagement in games.


Figure 2: Boosting the skill level of novice players who are struggling with the level of difficulty keeps them in the game

Improving Games, Increasing Revenues

Volt Active Data’s innovative architecture makes it easy to build fast data applications in a way not possible with existing technologies, analyze real-time streaming data, automatically make decisions and swiftly adjust the game player’s experience to encourage retention and monetization. deltaDNA’s real-time, state-of-the-art micro-personalization solution benefits players by delivering a better game, while developers and publishers benefit from more loyal players and increased revenues.

deltaDNA’s use of Volt Active Data is a prime example of the kind of transformative impact micropersonalization can have on an industry. The ability to implement real-time personalization translates into a unique competitive advantage for game developers and publishers, and is leading deltaDNA to develop solutions for related industries, such as real-money gambling, social casinos, and television applications.

Business Overview

Network slicing has been touted as one of the ways operators can monetize 5G, in particular for the enterprise market. But how exactly can they do this and what will they need to change about their current technology stacks?

Read this white paper by Niall Byrne, Head of Automated Networks at Openet, to learn:

  • Why several countries are reserving spectrum to allow enterprises to bypass operators. 
  • Why QoS (quality of service) could be the answer to operators’ current 5G monetization conundrum.
  • How the emergence of service- and application-specific slicing is changing the 5G monetization opportunity. 

And much more.

  • 184/A, Newman, Main Street Victor
  • 889 787 685 6