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Head-to-head · Spatial Databases

rasdaman vs SedonaDB

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score rasdaman #3 in Spatial Databases 9.0/10 Free plan Free plan✓ 3 of 3 features Visit rasdaman
SedonaDB #6 in Spatial Databases 8.3/10 Open source ✓ 3 of 3 features Visit SedonaDB

rasdaman leads on 0 checks, SedonaDB on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scorerasdaman · 9.0/10
  • Free planonly rasdaman

rasdaman scores higher on our rubric for spatial databases: 9.0 against 8.3 out of 10; our editors rank them #3 and #6.

rasdaman is the better fit for large-scale raster and multidimensional data. SedonaDB is the better fit for modern SQL and Python spatial analytics.

  • rasdaman fits best

    Large-scale raster and multidimensional data

  • SedonaDB fits best

    Modern SQL and Python spatial analytics

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Side by side

Feature rasdaman 9.0/10 Visit ↗ SedonaDB 8.3/10 Visit ↗
At a glance
Editor score 9.0 8.3
Ranking #3 in Spatial Databases #6 in Spatial Databases
Best for Large-scale raster and multidimensional data Modern SQL and Python spatial analytics
Pricing model Free plan + paid Free
Starting price — Open source
Free plan ✓ (best) Not checked yet
Free trial — —
Deployment Self-hosted Self-hosted
Support Email, Community, Docs Community, Docs
Integrations 13 integrations 5 integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market
Features rasdaman 3/3 · SedonaDB 3/3
Raster support ✓ ✓
3D geometry support ✓ ✓
Coordinate transforms ✓ ✓
Specs
Deployment model Self_hosted Self_hosted
Query interface Sql Sql
Spatial data types multidimensional arrays, raster data, geo coverages, 3D and 4D arrays geometry, geography, raster
Our review
Pros
  • SQL-like rasql queries support raster retrieval and manipulation
  • OGC services include WCS, WCPS, WCS-T, and WMS
  • Integrates with Python, R, QGIS, GDAL, ArcGIS, and more
  • SQL and Python DataFrame APIs for spatial workflows
  • Spatial joins, nearest-neighbor queries, indexing, and optimization
  • GeoParquet, GeoArrow, and GeoPandas interoperability
Cons
  • Self-hosted deployment requires Linux or API-based operation
  • Parallel processing and caching are limited to the enterprise edition
  • The feature set is specialized for raster and array workloads
  • Single-node deployment limits its scale profile
  • Self-hosted deployment requires managing the runtime environment
  • Designed for small-to-medium geospatial analytics
Our verdict

rasdaman is an open-source multidimensional array database for storing, querying, and processing raster data, datacubes, geo coverages, and 3D or 4D arrays. It is aimed at teams working with satellite imagery, sensor time series, climate…

Read the review →

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…

Read the review →
  1. rasdamanSpatial Databases 9.0Free plan
  2. SedonaDBSpatial Databases 8.3Open source

Strengths and trade-offs

  • rasdaman — where it wins

    • SQL-like rasql queries support raster retrieval and manipulation
    • OGC services include WCS, WCPS, WCS-T, and WMS
    • Integrates with Python, R, QGIS, GDAL, ArcGIS, and more

    Where it doesn't

    • Self-hosted deployment requires Linux or API-based operation
    • Parallel processing and caching are limited to the enterprise edition
    • The feature set is specialized for raster and array workloads

  • SedonaDB — 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

More comparisons

All spatial databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update