If you take a look at any of our benchmarks, you’ll see that this is not the case. PostgreSQL in fact can scale quite well for time-series analytics, if architected correctly.
But why don’t you just try out TimescaleDB and see for yourself?
But why don’t you just try out TimescaleDB and see for yourself?
On the linked-to article I only see references to irrelevant transactional DBMSes...
InfluxDB: https://blog.timescale.com/blog/what-is-high-cardinality-how... https://blog.timescale.com/blog/timescaledb-vs-influxdb-for-...
Cassandra: https://blog.timescale.com/blog/time-series-data-cassandra-v...
MongoDB: https://blog.timescale.com/blog/how-to-store-time-series-dat...
One possible exception is InfluxDB - I'm not familiar enough with it.
Anyway, try running TSBS on columnar DBMSes like Actian VectorH, Vertica, SAP HANA etc. ClickHouse may also be relevant; they don't support any possible schema, but it may be enough to run TSBS.
Performance comparisons to the candidates you named would be very interesting to see.
Downvoters: you should be happy that people with more knowledge than the average javascript-aws-webdevops-guy that is needed to operate a startup invest time to inform you about alternatives you might not know about.
Also it is important to keep this site attractive to people that have a different opinions and experiences - do not do that trump thing! Thanks!
Of course, for each claim replicable facts are needed.
We usually implement ones that we hear about a lot from customers, and so far those haven't come up a ton. We'll keep it in mind though as we look to keep adding new ones.