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Welcome to rasdaman -- the World's Leading Array Database

Array Databases allow storing and querying massive multi-dimensional arrays, such as sensor, image, simulation, and statistics data appearing in domains like earth, space, and life science.

rasdaman ("raster data manager") is the leading array analytics engine distinguished? by its flexibility, performance, and scalability. Rasdaman embeds itself smoothly into relational databases, but can also run standalone on the file system. In fact, rasdaman has pioneered Array Databases being the first fully implemented, operationally used system with an array query language and optimized processing engine with unprecedented scalability. Known rasdaman databases exceed 230 TB; with EarthServer, intercontinental fusion of Petabyte datacubes is being established.

OSGeo Incubation logo Next-Generation Geo Raster Server. Rasdaman is brought to you by the guys writing the geo raster standards, including OGC WCS and WCPS, the OGC raster query language. The Petascope component of rasdaman provides service interfaces based on the OGC WCS, WCPS, WCS-T, and WPS. For several of these, rasdaman will be reference implementation. Since April 2011, rasdaman is available on the OSGeo Live DVD (a short get started guide). Drivers are available for integration with GDAL, MapServer, R], and several more.

For the business value of rasdaman, see the listing on OpenHub. EarthLook is a demonstration site showcasing rasdaman in a variety of 1-D to 4-D geo use cases.


  • July 2015 -- following earlier prerelease, the stable version of rasdaman 9.1 is released now, with tons of improvements and new functionality
  • June 2015 -- OpenHub attests rasdaman a "large team, in the top 10% of all project teams on Open Hub"
  • February 2015 -- Currently we are aware of 230 TB of rasdaman databases of atmosphere, ocean, land, and planetary science data. Let us know if you have another Big Data instance running!
  • more news...

Download, Installation, Documentation

Go to the Download page for instructions. The installation steps are described on the Install page?. There is ample documentation, including query and programming examples (check out our tutorial on spatio-temporal data with rasdaman too).


The Large-Scale Scientific Information Services research group at Jacobs University Bremen is the core development team. Feel free to contact us!

A dedicated research spin-off company, rasdaman GmbH, provides software enhancements, expert consultancy, participation in projects, and joint ventures on a commercial basis to foster widespread use of rasdaman.

See also the support page.


Interested in the scientific background? There is a host of publications available.

PS: Greetings to all rastafarians! wha'ppen, man?

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