Re: A Timeseries Case Study: InfluxDB VS PostgreSQL - Mailing list pgsql-general
From | Andrew Staller |
---|---|
Subject | Re: A Timeseries Case Study: InfluxDB VS PostgreSQL |
Date | |
Msg-id | 6b25525b-8c36-620e-5da0-c900a7720c19@mixmax.com Whole thread Raw |
In response to | Re: A Timeseries Case Study: InfluxDB VS PostgreSQL (Benjamin Scherrey <scherrey@proteus-tech.com>) |
List | pgsql-general |
Hi All, Full disclosure: I'm a Timescale employee. Fabio, really interesting analysis and we can generally confirm the conclusions of your tests. As Thomas pointed out above, TimescaleDB is an open-source time-series database packaged as Postgres extension. We are always interested in performance comparisons between TimescaleDB and vanilla Postgres and have run a few ourselves (compared to 9.6 and insert rates/ease-of-use in PG10). We'll of course be looking at comparisons to PG11 and where improvements in PG11 also carry over to TimescaleDB. Third-party comparisons are also welcome, especially from someone well-acquainted with Postgres. We have also run benchmarks comparing TimescaleDB and MongoDB that might be useful/interesting for folks here: https://blog.timescale.com/how-to-store-time-series-data-mongodb-vs-timescaledb-postgresql-a73939734016 And in reference to the earlier discussion of InfluxDB, here's a similar post comparing TimescaleDB with InfluxDB: https://blog.timescale.com/timescaledb-vs-influxdb-for-time-series-data-timescale-influx-sql-nosql-36489299877 Finally, if you're interested, here's the open source tool we use to run our database comparison benchmarks: https://github.com/timescale/tsbs Let me know if you have any TimescaleDB specific questions! On Fri, Sep 7, 2018 4:08 AM, Benjamin Scherrey scherrey@proteus-tech.com wrote:
TimescaleDB | Head of Marketing & Community c: 908.581.9509 335 Madison Ave. New York, NY 10017 |
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