Blog
Insights on building, scaling, and enforcing real-time decisions in modern data-driven systems.
DTW Ignite brought together network operators, vendors, and systems integrators to talk about where telecom infrastructure is heading. This year we showed up differently than in years past. Together with…
FinNext 2026 brought together leaders from banking, fintech, payments, lending, and technology to talk about where the financial services industry is heading. AI, data infrastructure, cloud, and tokenization all got…
I've had some version of the same conversation dozens of times. An operator or platform team has invested heavily in an AI-driven decisioning system (fraud detection, network policy, real-time charging),…
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The New Speed of Finance — Fraud Detection and Real-Time Expectations
Consumer finances today largely exist online. More than 60% of consumers reported using a banking website and mobile app, according…
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The Open Source Real-Time Question (and Fast Data Answers)
Rising Amounts of Information As we look at total amount of information created world wide, we see an exponentially rising…
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What Real-Time Application Pattern Works for You?
3 common real-time application patterns that require a real-time decision Editor’s note: This blog post first appeared on the InfoWorld…
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How Millennials are Transforming Waiting
Millennials are at the forefront of influencing change across multiple industries. From Applebee’s to Harley’s, real-estate to football, millennials are…
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Improving Initialization — An Intern’s Story
My three-month-long internship at Volt Active Data was meaningful and unforgettable. By working with all the talents in this company,…
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Improving SQL Execution – An Intern’s Story
My name is Dinesh Majeti and I am a Ph.D. student from the University of Houston in the field of…
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Achieving Immediacy: Operating in a Real-Time World
We recently commissioned a survey of 2, 000 consumers, examining what ‘real-time’ means to end-users and the potential implications of…
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Using UDF for Machine Learning
We added support for scalar user-defined functions in our recent release, Volt Active Data V7.6. With this feature, users can…
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Announcing Volt Active Data v7.7
As summer comes to a close, we’ve posted another monthly Volt Active Data release, now available for download. Volt Active…
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Comparing Fast Data Performance: A comparison of Volt Active Data and Cassandra Benchmarks
Introduction NoSQL databases, such as Apache Cassandra, are often used in operational applications. However, a new breed of databases, such…
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What the **** is Translytics / a Translytical Database?
Data is often repeated as the lifeblood of modern business. Companies use data to drive decisions and strategies, as well…
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Announcing Volt Active Data Enterprise Lab Program
Digital has become the new mantra for success and every Enterprise across the globe wants to ‘go digital’. As more…
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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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