Insights on building, scaling, and enforcing real-time decisions in modern data-driven systems.
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I recently met with a bunch of Volt Active Data customers. These are companies in the business of data and…
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As part of our 6.0 release, we’ve added new data types and functions that let you work with geospatial data…
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Volt Active Data is already the go-to product for developing fast data applications because of its unparalleled performance, availability, and…
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Processing big data effectively often requires multiple database engines, each specialized to a purpose. Databases that are very good at…
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Openet, a leading independent supplier of real-time business support systems (BSS), ensures that more than 600 million mobile telecommunications users…
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In the Volt Active Data ebook, “Fast Data: Smart and at Scale,” Ryan Betts and I outline what we have…
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Introduction Last year we published YCSB benchmarks that compared IBM SoftLayer with Amazon Web Services. This generated a lot of…
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When you evaluate a database to use in your application stack, you usually look at the features, the performance, the…
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Continuous integration (CI) has become a fundamental process in many software-based companies in recent years. Fortunately, frameworks such as Jenkins…
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My name is Yiqun Zhang and I worked as a software engineering intern on the SQL core team at Volt…
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One of the key tasks during initialization of a Volt Active Data cluster is determining cluster topology. The topology includes…
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A couple of weeks ago, an interesting issue came up in the field. The symptom was that the resident set…
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.
Your applications are about to get a whole lot better.