Rasdaman

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.