Jakob Miksch
Dewey DunningtonExcited to announce SedonaDB 0.2.0! Highlights include reading spatial file formats via @gdal, improved GeoParquet IO, Python Arrow UDFs, and 40+ additional functions.
We're proud to officially be @gdal in a trenchcoat! You can now query GeoPackage, FlatGeoBuf, @shapefile, or anything else supported by GDAL/OGR, including URLs, zipped files, directories, and globs.
Just like our GeoParquet suport, if your query contains one or more WHERE ST_Intersects() (or similar), this is automatically pushed into the data source to read as little as possible!
On the write side, SedonaDB can now write GeoParquet 1.1 files with spatial sorting and limited row group size to optimize partial reads when hosting or viewing large files.
We were fortunate to have over 40 functions contributed since our last release, but if we didn't get to your favourite you can now patch it in via pyarrow and/or shapely!
Finally...we're now on crates.io! We're still learning how to support Rust projects that are interested in spatial support...leave a note on our repo if you're interested!
For the full scoop, check out our release post! https://sedona.apache.org/latest/blog/2025/12/01/sedonadb-020-release
SedonaDB 0.2.0 Release - Apache Sedona
Apache Sedona is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark, Apache Flink, and Snowflake, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines.