Blog
Insights on building, scaling, and enforcing real-time decisions in modern data-driven systems.
Key takeaway Reported consumer fraud losses reached $15.9 billion in 2025, up nearly 430% since 2020. The biggest losses come from payments victims are persuaded to authorize themselves, and the…
Key takeaway Fraud losses keep rising despite record investment in detection, because in most financial services stacks the systems that hold state, apply decision logic and enforce outcomes are separate….
Why "how many transactions per second?" is the wrong first question, and what real-world PoC data tells us about VoltDB performance across telco, financial services, and autonomous network workloads The…
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Five Telco Apps where a Fast NewSQL Database Brings Competitive Advantage
How do you modernize the infrastructure of an industry as essential to our world as telecommunications? You could hedge your…
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Lack of consistency is the hobgoblin of data management (and other survey results)
We did a survey last year to see how enterprises viewed the need for “real time”(see https://www.voltactivedata.com/blog/worlds-apart-real-time-data-disconnect). Since we are…
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All-Partition Procedures: New Client APIs in Volt Active Data 6.7
In the newest version of Volt Active Data, we’ve added a new client API to make calling a single-partition procedure…
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Billions and billions (of transactions)
Billions and billions of transactions are executed each and every day by production-deployed Volt Active Data applications. A back-of-the-napkin calculation…
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The five most frequent questions about Volt Active Data
We get a lot of questions about what Volt Active Data is, what it does well, and how it can…
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Connecting Volt Active Data to Amazon Kinesis streams
I work on the Volt Active Data Scrum team tasked to create interfaces – both import and export – to…
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Four Use Cases Where NoSQL Databases Fall Short
We looked at the basic differences between NoSQL and NewSQL in a recent post. Now let’s break the differences down…
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NoSQL vs. NewSQL: What’s the difference?
NoSQL and NewSQL databases are popular solutions in the data management space. We’re sometimes asked to clarify the difference between…
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Read Repair – a solution to eventual consistency?
I got some fairly harsh feedback for my last post, “Lies, Damned Lies and “Eventual Consistency.” It’s clear a lot…
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An intern’s experience at Volt Active Data: Partial snapshots, YCSB benchmark
Working at Volt Active Data is a fantastic experience. Coming from Brown CS, I worked as a software engineering intern…
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Optimizing client APIs – an intern’s story
My name is Yuxuan Chen, a Brown University CS master’s student, and I spent this summer as an intern in…
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New Go language driver available for Volt Active Data
I’m happy to introduce a fully featured, high-performance Volt Active Data client for the go language. The golang client is…
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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.
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