wzymumon / sedona

A cluster computing framework for processing large-scale geospatial data

Click and play the interactive Sedona Python Jupyter Notebook immediately!

Apache Sedona™ is a cluster computing system for processing large-scale spatial data. Sedona equips cluster computing systems such as Apache Spark and Apache Flink with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines.

Download statistics	Maven	PyPI	CRAN
Apache Sedona	180k/month
Archived GeoSpark releases	10k/month

System architecture

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Modules in the source code

Name	API	Introduction
Core	Scala/Java	Distributed Spatial Datasets and Query Operators
SQL	Spark RDD/DataFrame in Scala/Java/SQL	Geospatial data processing on Apache Spark
Flink	Flink DataStream/Table in Scala/Java/SQL	Geospatial data processing on Apache Flink
Viz	Spark RDD/DataFrame in Scala/Java/SQL	Geospatial data visualization on Apache Spark
Python	Spark RDD/DataFrame in Python	Python wrapper for Sedona
R	Spark RDD/DataFrame in R	R wrapper for Sedona
Zeppelin	Apache Zeppelin	Plugin for Apache Zeppelin 0.8.1+

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

Compile the source code

Please refer to Sedona website

Contact

Twitter: Sedona@Twitter

Sedona JIRA: Bugs, Pull Requests, and other similar issues

Sedona Mailing Lists: [e-mail]: project development, general questions or tutorials.

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Please visit Apache Sedona website for detailed information

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