sedona-db

If you are into geo spatial, worth to check on the same class project - SedonaDB https://github.com/apache/sedona-db "SedonaDB is an open-source single-node analytical database engine with geospatial as a first-class citizen" Apache License 2.0 https://github.com/apache/sedona-db/blob/main/LICENSE MIT License https://github.com/duckdb/duckdb/blob/main/LICENSE https://duckdb.org/docs/current/core_extensions/spatial/func...

You’re absolutely asking the right question. As we noted in Future Work section of the SpatialBench result (https://sedona.apache.org/spatialbench/single-node-benchmark...), this benchmark is focused on geospatial analytical queries. For these workloads, features like columnar layout, vectorized execution, zero-copy, and zero SerDe provide huge performance benefits. While PostGIS is often used for spatial analytics because of its rich spatial function coverage, it is fundamentally a transactional database. This design makes it less suited for analytical query performance, and including it directly in SpatialBench would risk claims of being an “apples-to-oranges” comparison. That’s why we exclude PostGIS from the published benchmark results. That said, we do continuously validate against PostGIS. For every single function in SedonaDB, we m