![]() |
Mundi Actionable Datacubes, available on the Mundi Marketplace, enable mastering Earth Observation data and develop innovative services that enable better and faster business decision making.
Its powerful, easy-to-use, open standards based datacube engine,rasdaman, unleashes the Copernicus archives for access, processing, analysis, fusion and visualization of any-size EO data. Try out the award-winning, world-leading rasdaman datacubes hands-on, visiting the Earth Datacube Playground!
![]() |
Mundi Datacubes are proud member of the EarthServer Datacube Federation, the world's largest location-transparent datacube federation of superscale data centers. The concepts implemented in rasdaman have massively shaped Big Data standards, such as the OGC WCPS geo datacube analytics language and the ISO Array SQL standard.
Not sure about datacube standards? See the EarthServer training for an easy-to-digest introduction to the datacube standards, from zero to hero. More practical tips can be found in the rasdaman cheatsheets and tutorial on OGC WCS/WCPS/WMS.
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") has pioneered the field of array databases [VLDB 1994, VLDB 1997, SIGMOD 1998, VLDB 2003] and today is sets itself apart by its flexibility, performance, and scalability [SSDBM 2014, SIGMOD DanaC 2014, IJDE 2015]. Rasdaman embeds itself smoothly into relational databases, but can also run standalone on the file system. In fact, rasdaman still is the first fully implemented, operationally used system with an array query language and optimized, multi-parallel processing engine with unprecedented scalability. Deployments exceed tens of Petabytes; with EarthServer, intercontinental fusion of Petabyte datacubes is being established.
Mundi Datacubes has been established in the course of project PARSEC which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 824478.
rasdaman GmbH Hans-Hermann-Sieling-Str. 17 28759 Bremen |
Contact: Peter Baumann,
All external links implemented on this site have been checked for conformance with the spirit and intent of this site, and have found conformant at this time. However, the maintainer of this site has no control over the (change of) contents of the referred websites and, therefore, does not assume any responsibility for the contents of referred websites.
The controller responsible for the described data collection and processing is rasdaman GmbH. Our data protection officer, Peter Baumann (email see under Maintainer), will be happy to provide you with information or suggestions on the topic of data protection.
When you visit our website, the Web server temporarily stores usage information on our server machine (running in Germany) for statistical purposes in the form of a log in order to improve the quality of our website and to fulfill funding agency statistics reporting obligations.
We do not transfer your personal data to third parties without your express consent. We use revolvermaps for determining the city of visitors (nothing beyond this anonymized information is available); see their privacy statement which, at the time we evaluated it, obviously was in accordance with GDPR.
When it comes to processing your personal data, the GDPR grants you certain rights as a website user:
Mundi Datacubes is not legally affiliated in any way with Mundi Web Services.
Green matrix color cube © by Woken-2010.
Landscape images © Mundi consortium.