Thread: A Timeseries Case Study: InfluxDB VS PostgreSQL
Hi, I recently published a blog article reporting a small research I made on the usage of InfluxDB and PostgreSQL for time series, together with Grafana on my specific use case. I think that some of you might find it interesting, maybe inspiring or perhaps it can trigger some interesting discussion, given the high level of expertise of people in this mailing list. I reached out to InfluxDB guys, but after an initial ack, I did not hear from them any longer. https://portavita.github.io/2018-07-31-blog_influxdb_vs_postgresql All comments, critics, suggestions and corrections are very welcome Regards, fabio pardi
On 07/09/2018 11:07, Fabio Pardi wrote: > Hi, > > I recently published a blog article reporting a small research I made on > the usage of InfluxDB and PostgreSQL for time series, together with > Grafana on my specific use case. > > > I think that some of you might find it interesting, maybe inspiring or > perhaps it can trigger some interesting discussion, given the high level > of expertise of people in this mailing list. > > I reached out to InfluxDB guys, but after an initial ack, I did not hear > from them any longer. > > > https://portavita.github.io/2018-07-31-blog_influxdb_vs_postgresql > > > All comments, critics, suggestions and corrections are very welcome Nice read! Wonder if you could repeat the tests on pgsql 10.5 and btree/BRIN. > > > Regards, > > fabio pardi > -- Achilleas Mantzios IT DEV Lead IT DEPT Dynacom Tankers Mgmt
Hi Achilleas, I'm glad you like the article. Probably I will find the time to come back to the topic when I'm done comparing Mongodb with PostgreSQL regards, fabio pardi On 07/09/18 11:18, Achilleas Mantzios wrote: > Nice read! Wonder if you could repeat the tests on pgsql 10.5 and btree/BRIN.
Fabio Pardi schrieb am 07.09.2018 um 10:07: > Hi, > I recently published a blog article reporting a small research I made on > the usage of InfluxDB and PostgreSQL for time series, together with > Grafana on my specific use case. > > I think that some of you might find it interesting, maybe inspiring or > perhaps it can trigger some interesting discussion, given the high level > of expertise of people in this mailing list. > > I reached out to InfluxDB guys, but after an initial ack, I did not hear > from them any longer. > > https://portavita.github.io/2018-07-31-blog_influxdb_vs_postgresql > > All comments, critics, suggestions and corrections are very welcome Did you ever look at Timescale? https://www.timescale.com/ It's implemented as a Postgres extension. Would be interesting to compare with a "native" time series database
Interesting and useful article, Fabio. I'm actually quite curious about your evaluation of MongoDB & Postgres. I've been operating under the opinion that MongoDB has been obsoleted in every respect by Postgres and am curious as to whether there are any credible use cases where, given the opportunity to choose from the beginning which technology to build a new product on, I would ever select MongoDB over Postgres given the choice between them.
best regards,
- - Ben Scherrey
On Fri, Sep 7, 2018, 5:16 PM Fabio Pardi <f.pardi@portavita.eu> wrote:
Hi Achilleas,
I'm glad you like the article.
Probably I will find the time to come back to the topic when I'm done comparing Mongodb with PostgreSQL
regards,
fabio pardi
On 07/09/18 11:18, Achilleas Mantzios wrote:
> Nice read! Wonder if you could repeat the tests on pgsql 10.5 and btree/BRIN.
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:
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