Head-to-head · Spatial Databases
rasdaman vs 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 |
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| Cons |
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| 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 → |
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
- rasdaman9.0/10 · Free plan
A focused spatial database for querying, processing, and serving large raster datasets.
Visit rasdamanFull verdict → - Tile388.5/10 · Free plan
A self-hosted spatial database for real-time location queries and geofencing.
Visit Tile38Full verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update




