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Apache Sedona
Data analysis software From Wikipedia, the free encyclopedia
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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]
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Overview
Sedona is a framework that facilities distributed geospatial data processing. It integrates with Apache Spark, Apache Flink, 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 supports multi-languages in Java, Python, R, Scala, and SQL. [10][11]
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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 Foundation[13] and graduated in 2023.
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