Apache Sedona

Apache Sedona (formerly GeoSpark) is a cluster computing system for processing large-scale spatial data. As an Apache Software Foundation project, Sedona extends Apache Spark and Apache Flink with spatial data types, spatial SQL functions, and spatial indexingSpatial IndexingSpatial indexing organizes geospatial data into efficient data structures that dramatically accelerate location-based..., enabling distributed geospatial queries and analytics across clusters of machines handling terabytes of location data. Sedona implements Spatial SQL with functions following the OGC Simple Features specification (ST_Intersects, ST_Contains, ST_Buffer, ST_Distance, etc.) that operate on distributed datasets. It supports efficient spatial joins using R-tree and quad-tree indexes partitioned across cluster nodes, spatial range queries, KNN queries, and map visualization. Sedona reads and writes standard geospatial formats including ShapefileShapefileThe Shapefile is a widely used geospatial vector data format developed by Esri, storing the geometry, attributes, and..., GeoJSONGeoJSONGeoJSON is an open standard format for encoding geographic data structures using JavaScript Object Notation (JSON). I..., GeoParquet, WKT, and WKB, and integrates with data lake storage systems like HDFS, S3, and Delta Lake. Apache Sedona addresses the scalability limitations of traditional GISGISGeographic Information Systems (GIS) enable users to analyze and visualize spatial data to uncover patterns, relation... tools when datasets grow beyond what a single machine can handle. It is used by technology companies, government agencies, and research institutions for processing GPSGPSThe Global Positioning System (GPS) is a satellite-based navigation system operated by the U.S. Space Force that prov... trajectories, analyzing satellite imagerySatellite ImagerySatellite imagery consists of photographs and data captured by Earth observation satellites orbiting the planet. Thes... metadata, performing large-scale spatial joins between point-of-interest data and administrative boundaries, and building real-time geofencingGeofencingGeofencing creates virtual boundaries around real-world geographic areas, triggering automated actions when mobile de... systems. Sedona integrates with the broader Spark ecosystem including Spark SQL, MLlib, and GraphX for combined spatial and non-spatial analytics.