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serjester05/04/20251 replyview on HN

I think this is part of a broader trend of geospatial data just becoming easier to work with. DuckDB is great for quick ad hoc stuff, but I find polars to be easier to maintain. Personally, I'm really excited for polars to (eventually) add true geospatial support. In the meantime, creating a custom h3 plugin only took a couple days and it simplified massive parts of our old geo pandas / duckdb code. The faster we can completely get rid of geo pandas, the better.

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


Replies

mettamage05/04/2025

Is it possible with polars to store data more efficiently than a database though?

I work with polars, but I haven't delved too deep into the performance characteristics versus postgres or anything like that.