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Head-to-head · Spatial Databases

GeoDesk vs MonetDB

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score GeoDesk #4 in Spatial Databases 8.7/10 Free plan Free plan✓ 1 of 3 features Visit GeoDesk
MonetDB #8 in Spatial Databases 7.7/10 Free plan Free plan✓ 1 of 3 features Visit MonetDB

GeoDesk leads on 0 checks, MonetDB on 1, and 2 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreGeoDesk · 8.7/10
  • Free planboth

GeoDesk scores higher on our rubric for spatial databases: 8.7 against 7.7 out of 10; our editors rank them #4 and #8.

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

GeoDesk is the better fit for openStreetMap-based spatial applications. MonetDB is the better fit for analytical SQL with basic geospatial operations.

  • GeoDesk fits best

    OpenStreetMap-based spatial applications

  • MonetDB fits best

    Analytical SQL with basic geospatial operations

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Side by side

Feature GeoDesk 8.7/10 Visit ↗ MonetDB 7.7/10 Visit ↗
At a glance
Editor score 8.7 7.7
Ranking #4 in Spatial Databases #8 in Spatial Databases
Best for OpenStreetMap-based spatial applications Analytical SQL with basic geospatial operations
Pricing model Free Free
Starting price Free plan Free plan
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Self-hosted
Platforms Windows, macOS, Linux Windows, macOS, Linux
Support Docs, Community Community, Docs
Integrations 2 integrations 9 integrations
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features GeoDesk 1/3 · MonetDB 1/3
Raster support Not checked yet Not checked yet
3D geometry support — ✓ (best)
Coordinate transforms ✓ (best) Not checked yet
Specs
Deployment model Self_hosted Self_hosted
Query interface Not checked yet Sql
Spatial data types point, linestring, linearring, polygon, multipoint, multilinestring, multipolygon, geometry collection Point, Curve, LineString, Surface, Polygon, MultiPoint, MultiCurve, MultiLineString, MultiSurface, MultiPolygon, Geometry, GeomCollection, mbr
Our review
Pros
  • 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
  • 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
  • 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
  • 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

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 →

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. GeoDeskSpatial Databases 8.7Free plan
  2. MonetDBSpatial Databases 7.7Free plan

Strengths and trade-offs

  • 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

  • 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