[JonChesterfield]

Array languages are very fast for code that fits sensibly into arrays and databases spend a lot of compute time getting correctness right. 100x faster than postgres on arbitrary data sounds unlikely-to-impossible but on specific problems might be doable.

[mlochbaum]

Yes, when I took a look at shakti's database benchmarks before, they seemed entirely reasonable with typical array language implementation methods. I even compared shakti's sum-by benchmarks to BQN group followed by sum-each, which I'd expect to be much slower than a dedicated implementation, and it was around the same order of magnitude (like 3x slower or something) when accounting for multiple cores. I was surprised that something like Polars would do it so slowly, but that's what the h2o benchmark said... I guess they just don't have a dedicated sum-by implementation for each type. I think shakti may have less of an advantage with more complicated queries, and doing the easy stuff blazing fast is nice but they're probably only a small fraction of the typical database workload anyway.