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MrPowers | 5 months ago

SedonaDB builds on libraries in the Rust ecosystem, like Apache DataFusion, to provide users with a nice geospatial DataFrame experience. It has functions like ST_Intersects that are common in spatial libraries, but not standard in most DataFrame implementations.

There are other good alternatives, such as GeoPandas and DuckDB Spatial. SedonaDB has Python/SQL APIs and is very fast. New features like full raster support and compatibility with lakehouse formats are coming soon!

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