Show HN: Postgres Columnstore index vs. ClickHouse for OLAP queries (opens in new tab)

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.

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.

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.