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Polars is much more useful if you’re doing complex transformations instead of basic ETL.

Something under appreciated about polars is how easy it is to build a plugin. I recently took a rust crate that reimplemented the h3 geospatial coordinate system, exposed it at as a polars plugin and achieved performance 5X faster than the DuckDB version.

With knowing 0 rust and some help from AI it only took me 2ish days - I can’t imagine doing this in C++ (DuckDB).

[1] https://github.com/Filimoa/polars-h3



Polars is a life saver. We used it in a fairly complex project and it worked very well.


Neat! Really curious how you managed to outperform DuckDB 5x. Do you see yourself maintaining this long term? would love to use polars as my one stop shop + plugins rather than pulling in additional tooling.




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