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Head-to-head · Spatial Databases

rasdaman vs Tile38

  • 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
Tile38 #5 in Spatial Databases 8.5/10 Free plan Free plan✓ 1 of 3 features Visit Tile38

rasdaman leads on 1 check, Tile38 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 8.5 out of 10; our editors rank them #3 and #5.

rasdaman offers coordinate transforms; Tile38 doesn't.

rasdaman is the better fit for large-scale raster and multidimensional data. Tile38 is the better fit for real-time geofencing and location services.

  • rasdaman fits best

    Large-scale raster and multidimensional data

  • Tile38 fits best

    Real-time geofencing and location services

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Side by side

Feature rasdaman 9.0/10 Visit ↗ Tile38 8.5/10 Visit ↗
At a glance
Editor score 9.0 8.5
Ranking #3 in Spatial Databases #5 in Spatial Databases
Best for Large-scale raster and multidimensional data Real-time geofencing and location services
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 8 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features rasdaman 3/3 · Tile38 1/3
Raster support ✓ (best) Not checked yet
3D geometry support ✓ ✓
Coordinate transforms ✓ (best) —
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, bounding box, geohash, GeoJSON, XYZ tile, QuadKey, sector
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
  • Real-time geofencing with enter, exit, inside, outside, and cross detection
  • Supports GeoJSON, geohashes, bounding boxes, XYZ tiles, and QuadKeys
  • Connects with Kafka, NATS, MQTT, RabbitMQ, Redis, and other systems
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 operational responsibility
  • Coordinate transformations are not included in its listed capabilities
  • Its in-memory design may not suit every persistence requirement
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 →

Tile38 is an open-source, in-memory geospatial database and geofencing server for applications that track locations and evaluate spatial relationships. It is aimed at teams building location services, proximity features, asset tracking,…

Read the review →
  1. rasdamanSpatial Databases 9.0Free plan
  2. Tile38Spatial Databases 8.5Free 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
  • Tile38 — where it wins

    • Real-time geofencing with enter, exit, inside, outside, and cross detection
    • Supports GeoJSON, geohashes, bounding boxes, XYZ tiles, and QuadKeys
    • Connects with Kafka, NATS, MQTT, RabbitMQ, Redis, and other systems

    Where it doesn't

    • Self-hosted deployment requires operational responsibility
    • Coordinate transformations are not included in its listed capabilities
    • Its in-memory design may not suit every persistence requirement

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update