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Traditional pub/sub systems such as Apache Kafka (and their numerous ever evolving stream processing avatars like Apache Samza, Apache Storm, Apache Flink, etc.) work fine for a bunch of simple use cases where there is a need for simple decisions, speed, scale…
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We are hard at work on Volt Active Data and are pleased to release V9. This release focuses on new ways to work with the torrents of streaming data that Volt Active Data can ingest, making Volt Active Data the best technology…
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Need 640K TPS and perfectly accurate running totals? Volt Active Data has the answer. But it’s not what you’d expect… Anyone who has worked in the OLTP RDBMS space for any length of time will have noticed that heavy OLTP workloads don’t…
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Recently our team put together notes from the field into a new whitepaper: The 5G Revolution. In it, we discuss the fact that 5G demands software capabilities and methodologies that are new to CSPs and telecom software solution providers. Read this post…
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Happy New Year! To ring in 2019, we have a new version of Volt Active Data available to you with some new features and improvements that we think you’re going to like. Here are a few: Command Completion for SQL Typing syntactically…
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At our recent webinar, “NoSQL vs. NewSQL: Evaluating Database Technologies for 2019”, we received a number of questions from attendees about Volt Active Data’s capabilities and architecture. From orchestrating Volt Active Data with Kubernetes, to comparing Volt Active Data to TimeScaleDB, here’s…
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In this video of his Fast Data London 2018 keynote, Dr. Stonebraker focuses on the current market for “Big Data” products, specifically those that deal with one or more of “the 3 V’s”. He suggests that the volume problem for business intelligence applications…
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Traditionally advanced analytics was utilized primarily to gain an historical understanding of business performance. Data scientists spent countless hours mining, munging, and model building; wasting expensive resources and valuable time only to get a rear view understanding of business performance. Starting Now:…
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Wow, what a summer. It feels like our interns just arrived and now they’re all back to school. With their help we’ve shipped some great features in V8.3: Better SPI balance after a failed node rejoins the cluster Volt Active Data’s K-safety…
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In the previous articles, Getting Machine Learning into Production and Using Volt Active Data to Get H20 into Production, I discussed the broad problems you face when you try to commercialize machine learning and showed how to integrate h2o. In this article…
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Recently, we held a webinar, hosted by one of our engineers, entitled “Discussion & Demo — Machine Learning with True Real-Time Decisioning”. In it, we explored how intelligent real-time decisioning technology in machine learning helps you operationalize your analytics and take the…
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Congratulations! You’ve mastered machine learning and can now generate a model that will help your enterprise succeed. There’s just one problem. Or rather several, actually. Below we discuss the challenges you face getting an ML model into production and how Volt Active…