Draft:Apache Sedona
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| Apache Sedona | |
|---|---|
| Other names | GeoSpark |
| Original author(s) | Jia Yu, Mohamed Sarwat |
| Developer(s) | Apache Software Foundation |
| Initial release | December 10, 2017 |
| Repository | https://gitbox.apache.org/repost/asf/sedona.git |
| Available in | Scala, Java, SQL, Python, R, |
| License | Apache 2.0 |
| Website | sedona |
Apache Sedona (formerly GeoSpark) is an open-source framework designed for processing and analyzing large-scale spatial data in a distributed computing environment. [1][2] It originated as GeoSpark in 2010 by researchers at Arizona State University[3] and later entered incubation with the Apache Software Foundation in 2020. It graduated as a top-level project in February 2023. [4]
Overview
[edit]Sedona is a framework that facilities distributed geospatial data processing. It integrates with Apache Spark, Apache Flink and Apache Snowflake[5] [6] 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 Binary. [8][9] The project includes multi-language support in Java, Python, R, Scala, and SQL. [10][11]
History
[edit]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 Foundation[13] and graduated in 2023.
See also
[edit]References
[edit]- ^ 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.
- ^ Johnson, Robert (2025-01-06). Apache Sedona Essentials: A Practical Guide to Spatial Data Processing. HiTeX Press.
- ^ Woodie, Alex (2025-07-22). "Apache Sedona: Putting the 'Where' In Big Data". BigDATAwire. Retrieved 2025-09-18.
- ^ ASF, The (2023-02-08). "The Apache Software Foundation Announces New Top-Level Project Apache® Sedona". The ASF Blog. Retrieved 2025-09-18.
- ^ "Introduction to GeoSpatial streaming with Apache Spark and Apache Sedona". getindata.com. Retrieved 2025-09-18.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ "Working with Apache Sedona | Delta Lake". delta.io. Retrieved 2025-09-18.
- ^ "Introduction to Apache Sedona (incubating)". getindata.com. Retrieved 2025-09-18.
- ^ Woodie, Alex (2025-07-22). "Apache Sedona: Putting the 'Where' In Big Data". BigDATAwire. Retrieved 2025-09-18.
- ^ Sally (2021-01-01). "Apache in 2020 - By The Digits". The ASF Blog. Retrieved 2025-09-18.