| From: | Thomas Kellerer <spam_eater(at)gmx(dot)net> |
|---|---|
| To: | pgsql-general(at)lists(dot)postgresql(dot)org |
| Subject: | Re: A Timeseries Case Study: InfluxDB VS PostgreSQL |
| Date: | 2018-09-07 10:58:24 |
| Message-ID: | cca2e943-f2cb-a5b5-98ab-920503e10b6d@gmx.net |
| Views: | Whole Thread | Raw Message | Download mbox | Resend email |
| Thread: | |
| Lists: | pgsql-general |
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
| From | Date | Subject | |
|---|---|---|---|
| Next Message | Benjamin Scherrey | 2018-09-07 11:08:55 | Re: A Timeseries Case Study: InfluxDB VS PostgreSQL |
| Previous Message | Sonam Sharma | 2018-09-07 10:37:41 | connection error |