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SedonaDB

Free#6 of 39 in Spatial Databases

SedonaDB: A focused spatial SQL and Python engine for small-to-medium geospatial analytics. Ranked #6 of 39 in Spatial Databases by our editors (8.3/10); pricing: Open source; best for modern SQL and Python spatial analytics.

8.3/10Editor score

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SedonaDB8.3 Visit SedonaDB

At a glance

Editor score
8.3 / 10
Pricing
Open source
Best for
Modern SQL and Python spatial analytics
Paid from
Free
Deployment model
Self_hosted
Founded
2025
Facts checked
20 Sep 2026

Where it wins
- SQL and Python DataFrame APIs for spatial workflows
- Spatial joins, nearest-neighbor queries, indexing, and optimization
- GeoParquet, GeoArrow, and GeoPandas interoperability
Where it doesn't
- Single-node deployment limits its scale profile
- Self-hosted deployment requires managing the runtime environment
- Designed for small-to-medium geospatial analytics

Our verdict on SedonaDB

SedonaDB is an open-source, self-hosted, single-node analytical database engine for spatial analytics. Developed as part of Apache Sedona, it treats spatial data as a first-class concern and supports both SQL querying and a Python DataFrame API. Its audience is teams working with small-to-medium geospatial datasets who want database-style analysis across geometry, geography, and raster data on local machines or cloud instances.

Its strongest fit is spatial query depth. SedonaDB supports spatial joins, nearest-neighbor queries, spatial indexing, and query optimization, alongside coordinate reference system tracking and transformation. It also includes raster data processing and supports geometry, geography, and raster types, with three-dimensional support. These capabilities give spatial analysts a focused engine for combining vector and raster workflows rather than treating location data as an afterthought.

The ecosystem fit is another clear advantage. SedonaDB integrates with Apache Arrow, Apache DataFusion, GeoArrow, GeoParquet, and GeoPandas, supporting movement between database, DataFrame, and modern geospatial data-format workflows. Its open-source distribution avoids a conventional paid tier structure, while self-hosting leaves deployment and operational responsibility with the adopting team. The single-node design and stated focus on small-to-medium analytics make it less suitable for teams seeking a distributed spatial database for larger workloads. Choose SedonaDB when modern SQL, Python, spatial operations, and interoperability are priorities; consider a different option when distributed deployment is central to the requirement.

Your product? Our editors can test SedonaDB in depth and publish a review, labelled as paid · from $149/mo →

SedonaDB pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.

See plans on sedona.apache.org

SedonaDB fact sheet

Free plan	Not verified
Paid from	Free
Deployment model	Self_hosted
Query interface	Sql
Spatial data types	geometry, geography, raster
Raster support	Yes
3D geometry support	Yes
Coordinate transforms	Yes
Deployment	Self-hosted
Support	Community, Docs
Built for	Solo, Small business, Mid-market (editorial estimate)
Integrations	5 integrations: Apache Arrow, Apache DataFusion, GeoArrow, GeoParquet, GeoPandas
Pricing	Open source
Website	sedona.apache.org
Facts checked	20 Sep 2026

SedonaDB integrations

SedonaDB lists 5 integrations on its own site.

Apache Arrow
Apache DataFusion
GeoArrow
GeoParquet
GeoPandas

Alternatives to SedonaDB

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SedonaDB vs the competition

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Featured on iTechGuides

SedonaDB is listed in our Spatial Databases directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update