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  • Hacker News
  • A coincidence with the fact duckdb is supposed to release 2.0.0 very soon? :)
    by dkgs
  • TIL that Polars supports SQL. Amazing.
    by sgarland
  • A bit surprised about the datafusion results from the post, I have tried it time and time again, but datafusion has always been the leading/trading blowers with polars for our workfloads with duckdb being vastly slower.
    by niltecedu
  • I use Polars 2.0(rc) to (pre)calculate billions of weather scores on https://therno.com and it has been a lifesaver

    Happy that I can upgrade to 2.0 final tonight.

    by therno
  • I worked on benchmarking in the past, including TPC benchmarks.

    When you see a blog post like this, never interpret it as “database A is X% faster than database B”, there are just too many factors.

    It’s more like “we put focused work into performance improvements and we expect certain workloads to perform better than the previous release”.

    This seems like a good project, and benchmarking is a good way for a development team to iterate on performance. Just want to get my take out there.

    by popularonion
  • Well done, Polars team!

    Everything that I build greenfield moving forward I plan to use DuckDB, Polars, or PyArrow. Pandas was a great grandfather of a project (I actually cut my OSS contrib teeth on it, how the time flies)! I'll always appreciate the improvement pandas brought over SAS.

    by tomrod
  • I'm not following the trends closely, but has Polars become a full replacement for Pandas? Are there use cases where one is better suited than the other?
    by gozzoo
  • I've used Polars before and can only recommend it.

    It's like you get a really good 'query planner' like a DB would give you, but for your notebooks/scripts/etc. Much better than pandas imo.

    by sureglymop

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