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apache/sedona

A cluster computing framework for processing large-scale geospatial data observed · 2026-10-20

github.com/apache/sedona · homepage · Java · Apache-2.0 (permissive) observed · 2026-10-20

Health v2 · maintenance only

88/100

  • Activity 100
  • Release rhythm 65
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 103.0
  • age_days: 4197
  • days_rel: 76
  • days_push: 1
  • n_releases_24m: 7

Full methodology

Adoption not part of the score

2422 stars · 794 forks observed · 2026-10-20

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Apache Sedona is a cluster computing framework for processing large-scale geospatial data across Spark, Flink, and Snowflake. It provides Spatial SQL, spatial indexes, and APIs in Java, Scala, Python, and R.

Use cases

  • run spatial SQL queries on massive datasets
  • process large-scale geospatial data on a Spark cluster
  • perform spatial joins and KNN queries at scale
  • analyze GPS trajectory data with distributed computing
  • build ETL pipelines for geospatial data
  • query geospatial data with Spark SQL or Flink

When to choose

  • you need distributed spatial analytics beyond what PostGIS or a single machine can handle
  • you already run Spark or Flink and need spatial SQL support
  • you want an Apache-licensed, actively maintained geospatial engine

When to avoid

  • your geospatial data fits comfortably in PostGIS or a desktop GIS
  • you need interactive visualization rather than batch/cluster processing
  • you want a simple single-node GIS library like GeoPandas

Facets

framework · maturity active

geospatial data-science etl database search-engine big-data microservices jvm python cross-platform cloud spatial-sql spark flink cluster-computing spatial-index gis geospatial data-engineering docker

2 sources

Member repositories

RepositoryRoleHealth v2
apache/sedonamain88

For agents

markdown · JSON · MCP: product_card(name="apache/sedona")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem