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Head-to-head · Spatial Databases

rasdaman vs IBM Informix

  • 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
IBM Informix #7 in Spatial Databases 7.9/10 Free plan Free plan✓ 2 of 3 features Visit IBM Informix

rasdaman leads on 0 checks, IBM Informix 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 planboth
  • Most featuresrasdaman · 3 of 3

rasdaman scores higher on our rubric for spatial databases: 9.0 against 7.9 out of 10; our editors rank them #3 and #7.

On query interface, IBM Informix gives you Both where rasdaman offers Sql.

rasdaman is the better fit for large-scale raster and multidimensional data. IBM Informix is the better fit for enterprise databases needing embedded spatial features.

  • rasdaman fits best

    Large-scale raster and multidimensional data

  • IBM Informix fits best

    Enterprise databases needing embedded spatial features

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Side by side

Feature rasdaman 9.0/10 Visit ↗ IBM Informix 7.9/10 Visit ↗
At a glance
Editor score 9.0 7.9
Ranking #3 in Spatial Databases #7 in Spatial Databases
Best for Large-scale raster and multidimensional data Enterprise databases needing embedded spatial features
Pricing model Free plan + paid Free
Starting price — Free plan
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Self-hosted
Platforms Linux Windows, Linux
Support Email, Community, Docs Docs
Integrations 13 integrations 1 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features rasdaman 3/3 · IBM Informix 2/3
Raster support ✓ (best) Not checked yet
3D geometry support ✓ ✓
Coordinate transforms ✓ ✓
Specs
Deployment model Self_hosted Self_hosted
Query interface Sql Both
Spatial data types multidimensional arrays, raster data, geo coverages, 3D and 4D arrays geometry, point, linestring, polygon, multipoint, multilinestring, multipolygon
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
  • Supports geometry types, spatial functions, R-tree indexing, and 3D data
  • Combines SQL, NoSQL/JSON, time-series, and object-oriented modeling
  • Adds replication, clustering, and embedded edge-device deployment
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
  • Self-hosted deployment puts infrastructure responsibility on the buyer
  • Server support is focused on Windows and Linux environments
  • Its broad database scope may exceed the needs of spatial-only projects
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 →

IBM Informix is a relational and object-oriented database for demanding transactional and analytical workloads. It suits enterprise teams that need spatial capabilities inside a broader database system, rather than a standalone GIS…

Read the review →
  1. rasdamanSpatial Databases 9.0Free plan
  2. IBM InformixSpatial Databases 7.9Free 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

  • IBM Informix — where it wins

    • Supports geometry types, spatial functions, R-tree indexing, and 3D data
    • Combines SQL, NoSQL/JSON, time-series, and object-oriented modeling
    • Adds replication, clustering, and embedded edge-device deployment

    Where it doesn't

    • Self-hosted deployment puts infrastructure responsibility on the buyer
    • Server support is focused on Windows and Linux environments
    • Its broad database scope may exceed the needs of spatial-only projects

More comparisons

All spatial databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update