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Download statistics	Maven	PyPI	Conda-forge	CRAN	DockerHub
Apache Sedona	225k/month
Archived GeoSpark releases	10k/month

What can Sedona do?

Distributed spatial datasets

• Spatial RDD on Spark
• Spatial DataFrame/SQL on Spark
• Spatial DataStream on Flink
• Spatial Table/SQL on Flink
• Spatial SQL on Snowflake

Complex spatial objects

• Vector geometries / trajectories
• Raster images with Map Algebra
• Various input formats: CSV, TSV, WKT, WKB, GeoJSON, Shapefile, GeoTIFF, ArcGrid, NetCDF/HDF

Distributed spatial queries

• Spatial query: range query, range join query, distance join query, K Nearest Neighbor query
• Spatial index: R-Tree, Quad-Tree

Rich spatial analytics tools

• Coordinate Reference System / Spatial Reference System Transformation
• Apache Zeppelin dashboard integration
• Integrate with a variety of Python tools including Jupyter notebook, GeoPandas, Shapely
• Integrate with a variety of visualization tools including KeplerGL, DeckGL
• High resolution and scalable map generation: Visualize Spatial DataFrame/RDD
• Support Scala, Java, Python, R