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GeoSpark is a cluster computing system for processing large-scale spatial data. GeoSpark extends Apache Spark / SparkSQL with a set of out-of-the-box Spatial Resilient Distributed Datasets (SRDDs)/ SpatialSQL that efficiently load, process, and analyze large-scale spatial data across machines.

GeoSpark contains several modules:

Name	API	Spark compatibility	Introduction
Core	RDD	Spark 2.X/1.X	SpatialRDDs and Query Operators.
SQL	SQL/DataFrame	SparkSQL 2.1+	SQL interfaces for GeoSpark core.
Viz	RDD, SQL/DataFrame	RDD - Spark 2.X/1.X, SQL - Spark 2.1+	Visualization for Spatial RDD and DataFrame.
Zeppelin	Apache Zeppelin	Spark 2.1+, Zeppelin 0.8.1+	GeoSpark plugin for Apache Zeppelin

GeoSpark supports several programming languages: Scala, Java, SQL, Python and R.

Please visit GeoSpark website for detailed documentations

News!

• GeoSpark main developer Jia Yu will be a Tenure-Track Assistant Professor of Computer Science at Washington State University. He is looking for PhD students to join his lab! (read this)
• GeoSpark 1.3.1 is released. This version provides a complete Python wrapper to GeoSpark RDD and SQL API. It also contains a number of bug fixes and new functions from 12 contributors. See Python tutorial: RDD, Python tutorial: SQL, Release note

Orignial Contributors

• (Mo)hamed Sarwat (Twitter: @MoSarwat)
• Jia Yu

Impact

GeoSpark Downloads on Maven Central

GeoSpark ecosystem has around 10K downloads per month.