"rasdaman ("raster data manager") allows storing and querying massive multi-dimensional arrays, such as sensor, image, simulation, and statistics data appearing in domains like earth, space, and life science. This worldwide leading array analytics engine distinguishes itself by its flexibility, performance, and scalability. Rasdaman can process arrays residing in file system directories as well as in databases.
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 150 TB; with EarthServer, intercontinental fusion of Petabyte datacubes is being established.
From simple geo imagery services up to complex analytics, rasdaman provides the whole spectrum of functionality on spatio-temporal raster data - both regular and irregular grids. And it does so with an unprecedented performance and scalability, as recent scientific benchmarks show. To leverage this enabling technology, users do not necessarily have to learn new interfaces: rasdaman integrates smoothly with R, OpenLayers, Leaflet, NASA WorldWind, GDAL, MapServer, ESRI ArcGIS, and many more.
Makers of Big Data Standards. Rasdaman is brought to you by the guys writing the Big Datacube standards. The forthcoming ISO SQL/MDA (Multi-Dimensional Arrays) standard, integrating n-D arrays seamlessly into table world, has been crafted by the rasdaman team. This standard will be domain-independent and can serve all of Earth, Space, Life sciences, and beyond. Further, rasdaman is the blueprint for OGC WCS and WCPS, the OGC raster query language. No surprise, rasdaman supports OGC WMS, WCS core and all extensions including WCS-T, WCPS, and WPS. Further, rasdaman will be a reference implementation of INSPIRE WCS."
http://www.rasdaman.org/
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