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Head-to-head · Spatial Databases

rasdaman vs GeoDesk

  • 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
GeoDesk #4 in Spatial Databases 8.7/10 Free plan Free plan✓ 1 of 3 features Visit GeoDesk

rasdaman leads on 1 check, GeoDesk on 0, and 3 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 planboth
  • Most featuresrasdaman · 3 of 3

rasdaman scores higher on our rubric for spatial databases: 9.0 against 8.7 out of 10; our editors rank them #3 and #4.

rasdaman offers 3d geometry support; GeoDesk doesn't.

rasdaman is the better fit for large-scale raster and multidimensional data. GeoDesk is the better fit for openStreetMap-based spatial applications.

  • rasdaman fits best

    Large-scale raster and multidimensional data

  • GeoDesk fits best

    OpenStreetMap-based spatial applications

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Side by side

Feature rasdaman 9.0/10 Visit ↗ GeoDesk 8.7/10 Visit ↗
At a glance
Editor score 9.0 8.7
Ranking #3 in Spatial Databases #4 in Spatial Databases
Best for Large-scale raster and multidimensional data OpenStreetMap-based spatial applications
Pricing model Free plan + paid Free
Starting price — Free plan
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Self-hosted
Platforms Linux Windows, macOS, Linux
Support Email, Community, Docs Docs, Community
Integrations 13 integrations 2 integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features rasdaman 3/3 · GeoDesk 1/3
Raster support ✓ (best) Not checked yet
3D geometry support ✓ (best) —
Coordinate transforms ✓ ✓
Specs
Deployment model Self_hosted Self_hosted
Query interface Sql Not checked yet
Spatial data types multidimensional arrays, raster data, geo coverages, 3D and 4D arrays point, linestring, linearring, polygon, multipoint, multilinestring, multipolygon, geometry collection
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
  • Free, open-source engine for OpenStreetMap PBF data
  • GOQL supports tags, bounding boxes, and spatial relationships
  • Python, Java, and C++ libraries with broad output formats
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
  • Focused on OpenStreetMap PBF data rather than general spatial sources
  • No verified raster or 3D support
  • Uses GOQL rather than SQL or a document-query interface
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 →

GeoDesk is an open-source spatial database engine for developers building geospatial applications and analyzing OpenStreetMap data. It stores OpenStreetMap features in Geographic Object Libraries, compact local database files designed for…

Read the review →
  1. rasdamanSpatial Databases 9.0Free plan
  2. GeoDeskSpatial Databases 8.7Free plan

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

  • GeoDesk — where it wins

    • Free, open-source engine for OpenStreetMap PBF data
    • GOQL supports tags, bounding boxes, and spatial relationships
    • Python, Java, and C++ libraries with broad output formats

    Where it doesn't

    • Focused on OpenStreetMap PBF data rather than general spatial sources
    • No verified raster or 3D support
    • Uses GOQL rather than SQL or a document-query interface

More comparisons

All spatial databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update