rasdaman
rasdaman: A specialized, self-hosted database for querying multidimensional raster and array data. Ranked #26 of 26 in Multimodel Databases by our editors (6.8/10); pricing: Free plan · pricing on request; best for multidimensional geospatial array workloads.
At a glance
- Editor score6.8 / 10
- PricingFree plan · pricing on request
- Best forMultidimensional geospatial array workloads
- Free planYes
- Facts checked25 Sep 2026
Where it wins
- Supports arrays of arbitrary dimensions and cell types.
- Offers partial updates, tiled storage, and spatial indexing.
- Provides OGC WCS and WCPS interfaces plus geospatial integrations.
Where it doesn't
- Focused on array data rather than broad database workloads.
- Enterprise-only federation and added scalability features require the proprietary edition.
- Commercial Enterprise pricing is handled through sales.
Our verdict on rasdaman
rasdaman is a self-hosted array database and analytics engine for multidimensional raster data, including spatio-temporal sensor, image, simulation, and statistics data. Its intended users include teams working in earth, space, and life sciences, as well as engineering, where data is naturally represented as multidimensional arrays. The Community edition is free and open source; Enterprise is a proprietary edition with additional scalability features.
The technical focus is unusually specific: rasdaman manages arrays of arbitrary dimension and cell type, with declarative rasql queries for selecting, inserting, updating, and deleting data. Partial updates target selected array regions. Tiled storage can use configurable partitioning strategies, and spatial indexing helps locate tiles for queries. Tile-streaming evaluation and server-side query-result caching round out the query path. For geospatial applications, its OGC WCS and WCPS interfaces connect array access to established geospatial workflows. This depth makes it a stronger fit for raster and datacube workloads than for teams seeking a general-purpose database across unrelated data models.
Integration options include R, Python, Java, and C++, along with GIS and geospatial tools such as QGIS, GeoServer, GDAL, OpenLayers, and ESRI ArcGIS. Deployment is self-hosted on Linux, so organizations need to operate the database in their own environment. Enterprise adds distributed processing and data-center federation as well as scalability features, making it the relevant option for deployments that need those capabilities. The published edition structure gives smaller or exploratory projects a free community path, while buyers evaluating Enterprise should plan to contact sales. Choose rasdaman for multidimensional array analytics and geospatial interfaces; consider alternatives if your priority is a broad database model or managed cloud deployment.
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rasdaman pricing
All 2 rasdaman plans and prices →
rasdaman fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Supported data models | Not verified |
| Deployment options | Not verified |
| SQL support | Yes |
| Graph querying | Not verified |
| Vector search | Not verified |
| Multi-region support | Not verified |
| Deployment | Self-hosted |
| Platforms | Linux |
| Support | Phone |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 14 integrations: R, Python, Java, C++, OpenLayers, Leaflet … |
| Pricing | Free plan · pricing on request (source) |
| Website | rasdaman.com |
| Facts checked | 25 Sep 2026 |
rasdaman integrations
rasdaman lists 14 integrations on its own site.
- R
- Python
- Java
- C++
- OpenLayers
- Leaflet
- NASA WorldWind
- QGIS
- MapServer
- GeoServer
- GDAL
- OPeNDAP
- Pyxis
- ESRI ArcGIS
Alternatives to rasdaman
- MarkLogicA broad enterprise database for teams managing connected, varied data types.9.2
- Google Cloud SpannerA strong fit for globally consistent SQL workloads that also need search and graph capabilities.9.1
- Amazon DynamoDBA managed AWS database for scalable key-value and document workloads.9.0
See all rasdaman alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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