The rasdaman datacube engine has pioneered Actionable Datacubes: massive spatio-temporal Big Earth Data are served in homogenized, analysis-ready and visualization-ready form - suitable for experts and non-experts alike.
1D sensor data, 2D maps, 3D x/y/t image timeseries and x/y/z voxel data, 4D x/y/z/t atmospheric data are handled easily and uniformly, proven on multi-Petabytes and planetary-scale federations like EarthServer.
Multi-award winning rasdaman stands out through its
Try out the Earth Datacube Playground!
rasdaman is proudly brought to you by Jacobs University L-SIS group and rasdaman GmbH.