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Citus, Persona, TimescaleDB?



That was very "Klaatu, Barada, Nikto".


Victoria metrics as well, they say based on similar structures used in clickhouse


Looking at the comparison with Click Benchmark, they are almost pathetic in terms of performance. They cant even handle sub-second aggregation queries for 10M records. Compared that too even duckdb reading from parquet files.


Postgres is missing a proper columnstore implementation. It's a big gap and it's not easy to build.

One solution could be integrating duckdb in a similar way as pgvector. You need to map duckdb storage to Postgres storage and reuse duckdb query processor. I believe it's the fastest way to get Postgres to have competitive columnstores.


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...


This sounds interesting. I don't see duck db as a supported extension or mentioned anywhere in your code yet ;)

Is this foreshadowing?


Hydra?




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