Blog
Insights on building, scaling, and enforcing real-time decisions in modern data-driven systems.
The current discourse around AI is fixated on the "Brain" – Large Language Models (LLMs) and the generative capabilities of agents. But for the enterprise, a brain without a nervous…
In 2025, real-time decisioning shifted from a technical ambition to a business requirement. As streaming, AI, and edge computing matured, organizations were forced to rethink how quickly, consistently, and safely…
In mid-October 2025, a single race condition in the DNS automation layer behind Amazon DynamoDB triggered one of the largest cloud outages in recent memory. Tens of thousands of businesses…
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Top 7 Crypto Exchange Challenges — and How the Right Data Platform Solves Them
The crypto exchange world moves at lightning speed. Between high-frequency trading (HFT) bots, real-time payments, instant settlement, and continuous regulatory…
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Why Having a Cloud-Native Data Platform Matters for Telcos
Cloud-native is one of the hottest buzzwords in the technology industry, and developers across all verticals are increasingly using the…
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The Hidden Costs of Centralized Data Processing — And How Edge Intelligence Eliminates Them
You already know: data has become the cornerstone of innovation, efficiency, and improved customer experiences across industries. Traditionally, organizations have…
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Digital Twins in Automotive: How Virtual Models are Driving Real-World Innovation
Automotive manufacturers face ever-evolving political and technological landscapes that make staying “ahead of the curve” essential not only to success…
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When NoSQL Isn’t Enough: The Need for a Stronger Data Platform
Introduction NoSQL databases and data platforms have gained widespread adoption over the past decade, offering flexible schema design, horizontal scalability,…
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Understanding Volt Active Stream Processing
Processing data streams in real time has become essential for modern businesses. The rapid increase in data generation and the…
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Guide to Cost-Efficient Edge Data Replication
Introduction: The Role of Data Replication in Edge Computing Edge computing has revolutionized industries that require real-time data processing, such…
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Why ACID Requirements Cause So Many Issues: Lessons From a Company That Switched From Redis to Volt
We’ve never been super big on flagrantly tooting our own horn, but we recently had a customer who switched from…
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Introducing the Volt Active Data Developer Edition
Test Drive the World’s Leading OLTP Data Platform Today, we’re proud to introduce the Volt Active Data Developer Edition, which…
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How to Enrich your Apache Kafka Environment with Volt Active Data
Real-time data streaming has become a cornerstone of modern application architectures, and Apache Kafka has become a go-to platform for…
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The Data Trends That Defined 2024
As 2024 draws to a close, it’s clear that the world of data continues to evolve at a breathtaking pace.…
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These 7 Edge Data Challenges Will Test Companies the Most in 2025
Edge computing has transformed how businesses and industries process and manage data. By bringing computation closer to the data source,…
Let’s Talk
Volt is the real-time decisioning layer for mission-critical systems, ensuring decisions are made and enforced immediately against accurate state, even under sustained load.
If your system cannot tolerate delayed enforcement, inconsistent behavior, or reconciliation after the fact, let’s start a conversation about whether a dedicated decisioning layer makes sense for your architecture.