Make True Real-Time Data Processing A Reality
Use real-time decisioning to act quicker, react faster, mitigate risk, and generate more revenue.
TRUE REAL TIME DEFINED:
Ingest, Analyze, and ACT ON event data in under 10 milliseconds.
INTELLIGENT CONTEXTUAL DECISIONS
HIGH DATA
VOLUMES
ACCURATE AND CONSISTENT
Volt is the only platform that can analyze and make decisions on vast volumes of streaming data in true real time, without compromising on accuracy, resiliency, or consistency.
Business Overview
Six Use Cases of Real-Time Decisioning
Act On Data Immediately
Data is getting bigger, faster, and more varied. If you can’t act on your data immediately (i.e., in real time), you’ll lose your competitive edge. It’s no longer acceptable to store data first and process it later because you’ll be reacting to things (such as fraud) instead of proactively preventing them.
You need to process data first and store it later, which is exactly what Volt does and why the Volt Active Data Platform has become a must-have for any company seeking to fully capitalize on their real-time data.
The Challenges Of A Layered Architecture
Companies typically try to deal with processing and analyzing increasing data volumes and variety by adding layers to their stack. This approach has serious pitfalls:
- It increases latency
- It increases the potential for inconsistency and errors
- It makes failure-handling and compatibility checks difficult to orchestrate
- It creates a bloated hardware footprint that increases TCO
As real-time data processing evolves to encompass in-the-moment contextual decisions, IT architectures need to become simpler, not more complex.
Technical Paper
Volt Active Data’s Top-10 Capabilities
The Best Data Platform For Real-Time Data Processing
Real-time data processing has evolved from simple, fast data storage and retrieval to true real-time decisioning and actions. This means ingesting, storing, aggregating KPIs, detecting anomalies, and making decisions on your data in single-digit milliseconds.
A real-time data processing platform should be able to handle the entire ingest-through-act process for event-driven data in one stroke, through one layer, to support applications that can’t afford to lose data or compromise on latency and consistency at scale.
That’s exactly what Volt does. Volt is a unified data platform that can ingest, store, aggregate, measure KPIs, detect anomalies, make decisions, and invoke actions within 10 milliseconds. Also, the Volt Active Data Platform seamlessly integrates with other critical components in your stack, such as Apache Kafka, increasing the value of those investments and relieving you of having to do a rip-and-replace.
With Volt, you can act immediately on time-sensitive data to capture all the value before it’s lost forever.
Featured Assets
Real-Time Use Cases
Streaming/Kafka
Active Data Bytes — Prevent Taylor Swift Ticket Chaos With Transactional Stream Processing
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…
Real-Time Use Cases
Streaming/Kafka
Active Data Bytes — What Are Stream Processing Guarantees?
In this episode of Active Data Bytes, we discuss guarantees of consistency, high availability, and resiliency in the stream processing world. Seeta will explore the intersection of traditional guarantees of ACID,…
Cloud/Edge
Industrial IoT
STL Partners Report – Capturing Value From Edge & IoT: Which Edge IoT Business Models Will Drive Adoption?
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…