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🎉 Apache Sedona 1.9.1 已正式发布！🗺️ 新增 Geography SQL 函数、Box2D 与 Box3D 类型、栅格 Python UDF 等。查看发布说明 →

Matthew Powers

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Introducing SpatialBench: performance benchmarks for spatial database queries

SpatialBench is a benchmarking framework for spatial joins, distance queries, and point-in-polygon analyses.

Traditional benchmarking frameworks don’t include spatial workflows. It’s important to benchmark spatial workflows separately because an engine that’s fast for tabular data analyses isn’t necessarily performant for spatial queries.

For example, here are the SpatialBench results for Scale Factor 1 (SF-1) and SF-10 for SedonaDB, DuckDB, and GeoPandas on a single ec2 instance:

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SedonaDB 0.2.0 Release

The Apache Sedona community is excited to announce the release of SedonaDB version 0.2.0!

SedonaDB is the first open-source, single-node analytical database engine that treats spatial data as a first-class citizen. It is developed as a subproject of Apache Sedona. This release consists of 136 resolved issues including 40 new functions from 17 contributors.

Apache Sedona powers large-scale geospatial processing on distributed engines like Spark (SedonaSpark), Flink (SedonaFlink), and Snowflake (SedonaSnow). SedonaDB extends the Sedona ecosystem with a single-node engine optimized for small-to-medium data analytics, delivering the simplicity and speed that distributed systems often cannot.

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Introducing SedonaDB: A single-node analytical database engine with geospatial as a first-class citizen

The Apache Sedona community is excited to announce the initial release of SedonaDB! 🎉

SedonaDB is the first open-source, single-node analytical database engine that treats spatial data as a first-class citizen. It is developed as a subproject of Apache Sedona.

Apache Sedona powers large-scale geospatial processing on distributed engines like Spark (SedonaSpark), Flink (SedonaFlink), and Snowflake (SedonaSnow). SedonaDB extends the Sedona ecosystem with a single-node engine optimized for small-to-medium data analytics, delivering the simplicity and speed that distributed systems often cannot.