[hashjoiner]

There is a PR from me (Daniël, committer) with for db-benchmark. For the group by benchmarks, on my machine, it is currently somewhat slower than the fastest (Polars).

https://github.com/h2oai/db-benchmark/pull/182

Also we do support running TPC-H benchmarks. For the queries we can run, those are already finishing faster than Spark. We are planning to do more benchmarking and optimizations in the future.

[tomnipotent]

> it is currently somewhat slower than the fastest (Polars).

That's really promising, considering how fast Polars is. Both are written in Rust and use Apache Arrow, so they can even co-exist in the same context.

[hashjoiner]

Yes, that's pretty exciting! There is even support in Polars to execute the dataframe compute in DataFusion (as it can handle larger than memory datasets).