Following our invention and patenting of Array Databases we have built Big Datacube technology unmatched in flexibility, performance, scalability, and security. Scientfic benchmarks confirm: the pioneer Array Database remains the fastest by far.
Check out product overview and the rasdaman Hall of Fame!
The rasdaman team continuously drives Big Data standardization:
"We also use GeoServer and have used PostGIS Raster, but neither solution worked as well for us"
-- Bruce Crevensten, Anchorage U
"We have evaluated different tools, and your tool obviously is the Ferrari"
-- Antonio Tabasco, Head of Remote Sensing Applications and Services / Aerospace, GMV
rasdaman ("raster data manager") is the pioneer and leading Array Analytics Engine, for scalable, actionable datacubes in science, engineering, and beyond. It provides agile analytics on massive multidimensional arrays, such as regular and irregular spatio-temporal grids. Its full-stack architecture is rigorously designed for performance and scalability - tens of Petabytes of planetary-scale datacube federations are operational, with realtime location-transparent data fusion; array queries have been split across more than 1,000 AWS cloud nodes.
Key distinguishing features of rasdaman are its flexibility, performance, scalability, and open standards support. On such spatio-temporal sensor, image, simulation, and statistics data appearing, e.g., in earth, space, and life science applications rasdaman allows to quickly set up array-intensive services which are distinguished by their flexibility, speed, and scalability. Optionally, rasdaman integrates itself smoothly into standard databases.
A multitude of clients can access rasdaman databases, from Leaflet over NASA WorldWind and Microsoft Cesium over QGIS to python and R. Conversely, rasdaman can tap into any pre-existing archive (like DIASs) and perform analytics without data copying. This way, rasdaman embeds itself smoothly into any existing infrastructure.
The rasdaman team proudly serves in all key standardization bodies, since 15+ years critically shaping standards for spatio-temporal Big Data.
Further, we are present in key European industry initiatives.
The word "rasdaman", the rasdaman logo, and "actionable datacubes" are trademarks of rasdaman GmbH.
All trade names and logos are property of the respective trademark owner.
Slider image credits: Shutterstock, ESA, template provider, rasdaman.
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Our data protection officer, Dr. Peter Baumann (contact see above) will be happy to provide you with information or suggestions on the topic of data protection.