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rasdaman

What it is

rasdaman is a self-hosted system for managing and analyzing large multidimensional arrays, including sensor, image, simulation and statistics data. It handles raster data, geo coverages, and 3D and 4D arrays. Datacube queries use ISO SQL/MDA or the geo-specific WCPS language. The system supports OGC, ISO and INSPIRE standards such as WCS, WCPS, WMS and WMTS. Its ETL suite supports more than 100 formats, including JSON, XML, GeoTIFF and NetCDF. Storage tiling schemes can be tuned for different access patterns. Named clients include Leaflet, NASA WorldWind, QGIS, R and Python. The free Community edition is open source and includes core array database features. Enterprise adds federation, a special query engine, server-side code extensibility, AI integration, virtual coverages and pixel-exact security. Installation guidance covers source or Debian packages on Ubuntu 20.04, 22.04 and 24.04. The guide recommends at least 8 GB of memory and about 400 MB of installation disk space.

For and against

For

  • Handles multidimensional, raster and geo data
  • Supports ISO SQL/MDA and WCPS queries
  • Works with more than 100 data formats
  • Offers tunable storage tiling schemes
  • Provides a free open-source Community edition

Against

  • Self-hosted deployment is required
  • RPM-based distributions are not supported
  • Installation recommends at least 8 GB memory

The verdict

rasdaman focuses on standards-based management and analysis of multidimensional data in a self-hosted deployment. Community provides core array database features, while Enterprise adds advanced capabilities.

Who it suits

rasdaman suits organizations managing multidimensional scientific, geographic or sensor datasets that can run self-hosted software. It also supports users working with standards-based datacube queries and varied import formats.

Plans and prices

Community

Free

Open-source community edition · core array database features

Enterprise

Priced on request

Proprietary edition with additional features; contact maker for demo or test licence

Every plan, in full

On the record

Deployment
The installation guide describes installing from source or Debian packages and running rasdaman on Ubuntu 20.04, 22.04, and 24.04.doc.rasdaman.org · read 30 Sep 2026
Enterprise features
Enterprise adds features including federation, a special query engine, server-side code extensibility, AI integration, virtual coverages, and pixel-exact security.rasdaman.org · read 30 Sep 2026
Import and export
The ETL suite supports more than 100 data formats, including JSON, XML, GeoTIFF, and NetCDF.rasdaman.org · read 30 Sep 2026
Integrations
The site names Leaflet, NASA WorldWind, QGIS, R, and Python as clients.rasdaman.org · read 30 Sep 2026
Maker
The site identifies the maker as rasdaman GmbH and names Constructor University in its copyright notice.rasdaman.org · read 30 Sep 2026
Platform limitation
The guide says no RPM-based distributions are currently supported.doc.rasdaman.org · read 30 Sep 2026
Product
rasdaman manages and analyzes massive multidimensional arrays, including sensor, image, simulation, and statistics data.rasdaman.org · read 30 Sep 2026
Query languages
Datacube queries use domain-neutral ISO SQL/MDA and geo-specific WCPS.rasdaman.org · read 30 Sep 2026
Security guidance
The guide recommends creating a dedicated operating-system user to shield rasdaman activity such as log files from the rest of the system.doc.rasdaman.org · read 30 Sep 2026
Standards
It supports OGC, ISO, and INSPIRE standards including WCS, WCPS, WMS, and WMTS.rasdaman.org · read 30 Sep 2026
Storage performance
Users can tune tiling schemes for different data access patterns.rasdaman.org · read 30 Sep 2026
Support
The site offers documentation, professional support, and dedicated mailing lists; it also directs users to contact rasdaman GmbH for support.rasdaman.org · read 30 Sep 2026
System requirements
The guide recommends at least 8 GB of memory and says the installation itself uses around 400 MB of disk space.doc.rasdaman.org · read 30 Sep 2026

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