Recently minted database technologies that I find intriguing
I edit a database newsletter – <a href="https://dbweekly.com/" rel="nofollow">https://dbweekly.com/</a> – so tend to always have my eyes out for new releases, what's coming along, and what not. And I thought I'd share a few more things that have jumped out at me recently in case anyone's in the mood for spelunking.<p>1. QuestDB – <a href="https://questdb.io/" rel="nofollow">https://questdb.io/</a> – is a performance-focused, open-source time-series database that uses SQL. It makes heavy use of SIMD and vectorization for the performance end of things.<p>2. GridDB - <a href="https://griddb.net/en/" rel="nofollow">https://griddb.net/en/</a> - is an in-memory NoSQL time-series database (there's a theme lately with these!) out of Toshiba that was boasting doing 5m writes per second and 60m reads per second on a 20 node cluster recently.<p>3. MeiliSearch - <a href="https://github.com/meilisearch/MeiliSearch" rel="nofollow">https://github.com/meilisearch/MeiliSearch</a> – not exactly a database but basically an Elastic-esque search server written in Rust. Seems to have really taken off.<p>4. Dolt – <a href="https://github.com/liquidata-inc/dolt" rel="nofollow">https://github.com/liquidata-inc/dolt</a> – bills itself as a 'Git for data'. It's relational, speaks SQL, but has version control on everything.<p>TerminusDB, KVRocks, and ImmuDB also get honorable mentions.<p>InfoWorld also had an article recently about 9 'offbeat' databases to check out if you want to go even further: <a href="https://www.infoworld.com/article/3533410/9-offbeat-databases-worth-a-look.html" rel="nofollow">https://www.infoworld.com/article/3533410/9-offbeat-database...</a><p>Exciting times in the database space!