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Apache Sedona

Cluster computing framework for processing large-scale geospatial data

...According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing. Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments.

Downloads: 0 This Week

Last Update: 2026-04-21
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