Who are using Sedona?

         and more...

Download statistics	Maven	PyPI	CRAN
Apache Sedona	80k/month
Archived GeoSpark releases	300k/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

Complex spatial objects

• Vector geometries / trajectories
• Raster images with Map Algebra
• Various input formats: CSV, TSV, WKT, WKB, GeoJSON, Shapefile, GeoTIFF, 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
• High resolution map generation: Visualize Spatial DataFrame/RDD
• Apache Zeppelin integration
• Support Scala, Java, Python, R

---

Last update: March 6, 2022 09:51:33