Apache Sedona

Apache Sedona is an open-source cluster computation engine for processing large-scale geospatial data.

Try Apache Sedona On Wherobots Cloud
2,000,000 Downloads per month
38,000,000 Number of downloads
1,844 Stars on github
200% Year over year growth

The Open Source Solution for High-Performance Geospatial ETL & Analytics

Apache Sedona extends distributed compute frameworks to add support for spatial data types, spatial indexing, and efficient spatial query processing using Spatial SQL.

With almost 300 vector and raster Spatial SQL functions and support for multiple distributed compute engines including Apache Spark, Apache Flink, and Snowflake, Apache Sedona brings the most comprehensive support of Spatial SQL to parallel and scalable data processing environments.

Apache Sedona Architecture

Get started

The easiest way to get started is by using the official Apache Sedona Docker image

docker run apache/sedona:latest

Apache Sedona can be run in many different cloud platforms including:

learn more

Leverage resources to learn more about using Apache Sedona to solve your large-scale spatial data problems.

Connect with Apache Sedona across platforms and networks.

Review the latest on Apache Sedona across docs, blogs, and release notes.

Get Involved

Join the Apache Sedona community and be a part of the modern geospatial analytics ecosystem. There are many ways to be involved.

FeaturedFeaturedFeatured

Try the Spatial Intelligence Cloud

Or join the community to discuss with other members and experts.