smythe123's comments

Great exit for the PeerDB team, congratulations. However Postgres has improved so much over the years that many users don't need to move their data out of Postgres to get great performance for analytical queries.

At Tablespace https://www.tablespace.io we've built a ColumnStore Index natively as a Postgres extension that enables users to execute analytical queries in Postgres 2X faster than Clickhouse Cloud without moving their data https://www.tablespace.io/blog/postgres-columnstore-index-vs...

For transparency I'm the CEO of Tablespace.

Olo, CEO of https://www.tablespace.io here. We've built a columnstore extension for Postgres that is faster than ClikcHouse for real-time analytics in their own ClickBench Benchmarks. Feel free to check it out - https://www.tablespace.io/blog/postgres-columnstore-index-vs...

Hi there CEO of Tablespace here, no we are comparing 16CPU/32GB which Tablespace used to 24CPU/96GiB which ClickHouse cloud uses.Tablepsace is 1.6x faster running the benchmark even though we are using a much smaller compute shape.

Hi there CEO of Tablespace here. I'll address your points. The disk space that Postgres on the Tablespace platform uses is similar to that Vanilla Postgres uses. Also the ingestion time is similar as well - https://n9.cl/g4woz Remember we are still in beta and the indexing time will only be improved as well. We are not optimising for disk space usage, we are optimising execution for speed. Further, although Tablespace uses more disk space as you say, it is still 50% less expensive than ClickHouse Cloud. This cost saving is very conservative as well because users of ClickHouse Cloud still need to maintain a separate transactional database. Tablespace is fully HTAP.

The 1.6x speed-up figure is indeed correct. Have a look at the relative times for Tablespace 1.44 vs. ClickHouse (AWS) 2.34 and ClickHouse (GCP) 2.22 this works out to a 1.6x speed-up.

Ah got you. Will do.

Hi there. CEO of Tablespace here. We have indeed made something that people can try ;) We built a Columnstore index for Postgres which allows users to run fast OLAP analytics on Postgres. We just launched in open beta and are looking for feedback, comments, questions. The blog post is a comparison of Tablespace vs. ClickHouse for OLAP workloads. We also included links to the benchmark scripts that people can run themselves as well.