Blog
Insights on building, scaling, and enforcing real-time decisions in modern data-driven systems.
In the first part of this series, I argued that Databricks and Snowflake are not walking away from Apache Kafka. They are targeting a narrower and more commercially interesting problem,…
Introducing the Volt Active Data Developer Hub – three guided paths for Kafka, SQL, and AI-agent builders, a browser sandbox backed by a live cluster, and everything in between to…
If you work in network operations, financial services, or any environment running at enterprise scale, you have invested heavily in observability (Dashboards, alerts, correlation rules, etc.) with Datadog, Splunk, Dynatrace,…
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4 Sources of Latency and How to Avoid Them
Editor’s Note: This post originally appeared on November 1, 2017 on the InfoWorld blog. It is republished with permission. Even…
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Gamers’ Real-Time Demands: More Challenging than NG+
Gamers want real-time offers and micro-transactions — but only if they are useful. This is a key finding from The…
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Key Considerations for a Modern Database to Operate at Scale
Modern applications have two primary needs: Performance The performance consists of two aspects: throughput and latency. Both are driven by…
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Questions and Answers about Modern Database Architecture
Volt Active Data and DBTA teamed up to host a webinar in October titled “Architectural Considerations for a Modern Database…
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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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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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