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Head-to-head · Spatial Databases

rasdaman vs MonetDB

  • 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
MonetDB #8 in Spatial Databases 7.7/10 Free plan Free plan✓ 1 of 3 features Visit MonetDB

rasdaman leads on 0 checks, MonetDB 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 7.7 out of 10; our editors rank them #3 and #8.

rasdaman is the better fit for large-scale raster and multidimensional data. MonetDB is the better fit for analytical SQL with basic geospatial operations.

  • rasdaman fits best

    Large-scale raster and multidimensional data

  • MonetDB fits best

    Analytical SQL with basic geospatial operations

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Side by side

Feature rasdaman 9.0/10 Visit ↗ MonetDB 7.7/10 Visit ↗
At a glance
Editor score 9.0 7.7
Ranking #3 in Spatial Databases #8 in Spatial Databases
Best for Large-scale raster and multidimensional data Analytical SQL with basic geospatial operations
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 Community, Docs
Integrations 13 integrations 9 integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features rasdaman 3/3 · MonetDB 1/3
Raster support ✓ (best) Not checked yet
3D geometry support ✓ ✓
Coordinate transforms ✓ (best) Not checked yet
Specs
Deployment model Self_hosted Self_hosted
Query interface Sql Sql
Spatial data types multidimensional arrays, raster data, geo coverages, 3D and 4D arrays Point, Curve, LineString, Surface, Polygon, MultiPoint, MultiCurve, MultiLineString, MultiSurface, MultiPolygon, Geometry, GeomCollection, mbr
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 database with column-oriented analytical processing
  • Parallel execution, query optimization, and full ACID transaction support
  • OGC-style geometry types and spatial operations through SQL
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 requires local installation and administration
  • Geospatial coverage focuses on geometry types and operations
  • Spatial-types documentation is labeled outdated in the official guide
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 →

MonetDB is an open-source relational database management system for large-scale analytical workloads, with a SQL-compliant interface and full transaction support. It suits teams that want self-hosted analytical SQL on Windows, macOS, or…

Read the review →
  1. rasdamanSpatial Databases 9.0Free plan
  2. MonetDBSpatial Databases 7.7Free 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

  • MonetDB — where it wins

    • Free open-source database with column-oriented analytical processing
    • Parallel execution, query optimization, and full ACID transaction support
    • OGC-style geometry types and spatial operations through SQL

    Where it doesn't

    • Self-hosted deployment requires local installation and administration
    • Geospatial coverage focuses on geometry types and operations
    • Spatial-types documentation is labeled outdated in the official guide

More comparisons

All spatial databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update