# apache/sedona

A cluster computing framework for processing large-scale geospatial data

Repository: https://github.com/apache/sedona
Canonical: https://ross.abutalabs.com/products/sedona
Homepage: https://sedona.apache.org/
Language: Java
License: Apache-2.0
License Family: permissive
Topics: cluster-computing, spatial-sql, geospatial, spatial-analysis, spatial-query, scala, java, python, hacktoberfest
Last push: 2026-08-26T19:20:57+00:00

## Health v2 (maintenance only)
Score: 90/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 72, longevity 100
- inputs: {"age_days": 4149, "days_push": 7, "days_rel": 28, "gap_med": 103.0, "n_releases_24m": 7}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2390, forks 775 (observed 2026-08-28T04:06:43.302502+00:00)

## What it is
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
- artifact type: framework
- maturity: active
- function: geospatial, data-science, etl, database, search-engine
- domain: big-data, microservices
- platform: jvm, python, cross-platform, cloud
- tags: spatial-sql, spark, flink, cluster-computing, spatial-index, gis, geospatial, data-engineering, docker

## Member repositories
- apache/sedona (main) score 90

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:43.302502+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:34:29.404494+00:00, confidence not recorded.
  - readme: https://github.com/apache/sedona (fetched 2026-08-28T04:06:43.302502+00:00, sha 12f87460c3ad)
  - homepage: https://sedona.apache.org/ (fetched 2026-08-29T10:15:07.333900+00:00, sha f334ee768e9a)
- Data as of 2026-08-30T08:39:29.467469+00:00.