#apachesedona — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #apachesedona, aggregated by home.social.
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Dear #gis users and #gischat . I just wrote my first (real) post on my block. I tried to learn some modern frameworks. Therefore, I compared the execution speed for the Intersection for the buildings of a whole German state with their parcels and land usage. I compared #Geopandas #duckdb #apachesedona and #dask GeoPandas.
Sedona and Dask-GeoPandas were the fastest. DuckDB's had some problems. Btw.: DuckDB did have the smallest memory footprint.
Here is the entry: https://sehheiden.github.io/posts/speed_comparision_gis_intersection/ -
After days of trying to make Databricks Mosaic work for me, I give up. Trying Apache Sedona instead. It's not as tightly integrated with Databricks as Mosaic but at least I might get it running.