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Or just use TimescaleDB which is competitive on most axes but already PG.
by jpgvm 4y ago
Or just use TimescaleDB which is competitive on most axes but already PG.
- _joel 4y ago+1 for Timescale. Used it for a few RNN projects and it's been great.
- GordonS 4y agoAnd I +1 your +1, we've been using it in prod for 2 years or so.
- LoriP 4y agoThanks for the mentions (and for using TimescaleDB). If anyone's curious about TimescaleDB, it's packaged as an extension to Postgres, optimizing for performance, storage, and analysis of time series data. Implementing columnar compression algorithms is a big part of the secret sauce that makes TimescaleDB a popular choice with Postgres and SQL developers. You can read more about that on the Timescale blog (I'm Timescale's community manager btw). https://www.timescale.com/blog/search/?query=compression https://www.timescale.com/blog/search/?query=compression If anyone's curious, the youtube channel may be a good place to start, especially this playlist https://www.youtube.com/playlist?list=PLsceB9ac9MHTtM1XWONMRnCBcncb8jpIu https://www.youtube.com/playlist?list=PLsceB9ac9MHTtM1XWONMR...