On 07/19/2020, GeoSpark has been accepted to the Apache Software Foundation under the new name Apache Sedona (incubating). The code in this repository will be imported to the ASF Git repository. Old contributors please read this GitHub issue and submit your CLA at your earliest convenience.

Stable	Latest	Source code

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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 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.