Article · Wikipedia archive · Last revised Jun 22, 2026

Apache Sedona

Apache Sedona is an open-source framework designed for processing and analyzing large-scale spatial data in a distributed computing environment. It originated as GeoSpark in 2010 by researchers at Arizona State University and later entered incubation with the Apache Software Foundation in 2020. It graduated as a top-level project in February 2023.

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Apache Sedona
Other namesGeoSpark
Original authorsJia Yu, Mohamed Sarwat
DeveloperApache Software Foundation
Initial releaseDecember 10, 2017 (2017-12-10)
Available inScala, Java, SQL, Python, R,
LicenseApache 2.0
Websitesedona.apache.org
Repositoryhttps://github.com/apache/sedona

Apache Sedona (formerly GeoSpark) is an open-source framework designed for processing and analyzing large-scale spatial data in a distributed computing environment.12 It originated as GeoSpark in 2010 by researchers at Arizona State University3 and later entered incubation with the Apache Software Foundation in 2020. It graduated as a top-level project in February 2023.4

Overview

Sedona is a framework that facilities distributed geospatial data processing. It integrates with Apache Spark, Apache Flink, Snowflake56 and includes Spatial Datasets and Spatial SQL functions to loading, processing, and analyzing large-scale geospatial data across systems.7 It supports spatial data formats, including GeoJSON, Well Known Text and Well-Known Binary89 as well as multiple coding languages, including Java, Python, R, Scala, and SQL.1011

History

The project was initiated as GeoSpark by Jia Yu and Mohamed "Mo" Sarwart at Arizona State University in 2010.12 In 2020, the project was submitted to the Apache Software Foundation13 and graduated in 2023.

See also

See also

References

References

  1. Yu, Jia; Wu, Jinxuan; Elsayed, Mohamed (2015-11-03). "GeoSpark: A cluster computing framework for processing large-scale spatial data". In Huang, Yan; Ali, Mohamed; Sankaranarayanan, Jagan; Renz, Matthias; Gertz, Michael (eds.). Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems. GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems. pp. 1–4. doi:10.1145/2820783.2820860. ISBN 978-1-4503-3967-4.
  2. Johnson, Robert (2025-01-06). Apache Sedona Essentials: A Practical Guide to Spatial Data Processing. HiTeX Press.
  3. Woodie, Alex (2025-07-22). "Apache Sedona: Putting the 'Where' In Big Data". BigDATAwire. Retrieved 2025-09-18.
  4. ASF, The (2023-02-08). "The Apache Software Foundation Announces New Top-Level Project Apache® Sedona". The ASF Blog. Retrieved 2025-09-18.
  5. "Introduction to GeoSpatial streaming with Apache Spark and Apache Sedona". getindata.com. Retrieved 2025-09-18.
  6. Pruden, Ben (2024-02-06). "SedonaSnow: Apache Sedona On Snowflake, Accelerating Your GIS Pipeline, Exploring Global Fishing Watch Data With GeoParquet, and Apache Sedona 1.5.1 Release". Wherobots. Retrieved 2025-09-18.
  7. Armir, Bujari; Alessandro, Calvio; Luca, Foschini; Andrea, Sabbioni; Antonio, Corradi (2021-12-13). "A Digital Twin Decision Support System for the Urban Facility Management Process". Sensors. 21 (24): 8460. Bibcode:2021Senso..21.8460B. doi:10.3390/s21248460. ISSN 1424-8220. PMC 8709487. PMID 34960550.
  8. García-García, Francisco; Corral, Antonio; Iribarne, Luis; Vassilakopoulos, Michael (2023-04-03). "Efficient distributed algorithms for distance join queries in spark-based spatial analytics systems". International Journal of General Systems. 52 (3): 206–250. Bibcode:2023IJGS...52..206G. doi:10.1080/03081079.2023.2173750. hdl:10835/17848. ISSN 0308-1079.
  9. Rout, Rashmi Ranjan; Ghosh, Soumya Kanti; Jana, Prasanta K.; Tripathy, Asis Kumar; Sahoo, Jyoti Prakash; Li, Kuan-Ching (2022-07-27). Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2022. Springer Nature. ISBN 978-981-19-1018-0.
  10. "Working with Apache Sedona | Delta Lake". delta.io. Retrieved 2025-09-18.
  11. "Introduction to Apache Sedona (incubating)". getindata.com. Retrieved 2025-09-18.
  12. Woodie, Alex (2025-07-22). "Apache Sedona: Putting the 'Where' In Big Data". BigDATAwire. Retrieved 2025-09-18.
  13. Sally (2021-01-01). "Apache in 2020 - By The Digits". The ASF Blog. Retrieved 2025-09-18.
External links