The Apache Software Foundation Announces New Top-Level Project Apache® Sedona

Leading geospatial data platform for data scientists and engineers graduates to TLP

Wilmington, DE – February 8, 2023 (GLOBE NEWSWIRE) — The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 open source projects and initiatives, announced today Apache® Sedona has graduated from incubator and is now a Top-Level Project (TLP). Apache Sedona provides a geospatial data platform for data scientists and engineers to process geospatial data at any scale in a cluster computing environment. 

The geospatial analytics market is expected to reach $300B by 2030 (Source: Precedence Research). Apache Sedona provides the technology that enables companies to process data at scale, realizing tremendous business value. Users and contributors of Apache Sedona include some of the world’s largest e-commerce, telecommunications and data management companies. 

Apache Sedona provides APIs and libraries for working with geospatial data in the Scala, Java, Python and SQL programming languages, and it offers support for a wide range of geospatial data formats. It also provides tools for spatial indexing, querying, and spatial join operations, as well as support for common spatial analytics tasks such as clustering and classification. Apache Sedona is designed to enable scalable and efficient analysis of large datasets, and it can be deployed in standalone, local, or cluster modes. 

“It has been incredibly exciting to see Sedona empower so many users to gain new insights from their geospatial data,” said Jia Yu, Apache Sedona PMC Chair. “We are also excited to add new features and capabilities for Sedona including support for more data processing engines and integration with popular geospatial map visualization and GIS tools.” 

Key Features of Apache Sedona include: 

  • Support for a wide range of geospatial data formats, including GeoJSON, WKT, and ESRI Shapefile; 
  • Scalable distributed processing of large datasets; 
  • Tools for spatial indexing, spatial querying, and spatial join operations;
  • Support for common spatial analytics tasks, such as clustering, classification, and regression analysis;
  • Integration with popular big data tools, such as Apache Spark, Apache Hadoop, Apache Hive, and Apache Flink for data storage and querying;
  • A user-friendly API for working with geospatial data in the Scala and Java programming languages; and 
  • Flexible deployment options, including standalone, local, and cluster modes.

“At SafeGraph, we need to perform a wide range of spatial joins to build our datasets. Before adopting Sedona we had a lot of custom code for spatial joins that was difficult to work with and unreliable,” said Russ Thompson, Senior Machine Learning Engineer at SafeGraph. “Switching to Sedona has made our spatial joins much more reliable, and allows us to add new spatial joins to our code with ease. Sedona has also made it much easier for our data analysts to work with geographic data at scale thanks to Sedona’s SQL interface.” 


Apache Sedona is steadily growing with nearly 100 committers to the project and 800,000 monthly downloads. It also ranks among the top 1% most downloaded Python projects on PyPi.


The Apache Incubator is the primary entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects enter the ASF through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision-making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit


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