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In-Memory Database Blog - VoltDB
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VoltDB / In-Memory Database Blog (Page 4)

In-Memory Database Blog

Since joining VoltDB exactly 3 years ago as a Sales Engineer, I have worked with customers from different industries and with different fast data challenges. One of my most important duties here has been to relay the efficacy of VoltDB in supporting such fast data applications. The challenge here is in not just applying a solution to the customer’s problem at hand, but often to also not lose sight of the possibilities that VoltDB, as probably the fastest database in the market, can enable in the respective industries.

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 VoltDB’s K-safety feature is achieved by having a leader...

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 next critical step in realizing your machine learning goals. It also featured a live demonstration showcasing machine learning for fraud prevention using VoltDB’s real-time data platform.

Redis has been one of the most popular in-memory key-value stores according to Stack Overflow’s Developer Survey. The popularity of open source Redis can be attributed to the perception that Redis is a “low cost” alternative to commercial software. While the software is free to download and use, the true costs of running Redis in a production environment are unfortunately not realized in the first few months. However, as companies grow, so does their data — as well as their performance requirements – and that is when Redis runs into speed bumps. We see numerous companies running into issues with Redis at scale, where there is a significant drop in performance, and hardware costs begin to pile up. Redis is also much harder to use at scale; no transaction support across shards being the primary issue.