Rasdaman extends standard relational databases to provide storage and retrieval of multi-dimensional raster data (i.e., arrays) of unlimited size using an SQL-style raster query language with highly effective server-side optimization. Data are stored in a PostgreSQL database, thereby achieving tight information integration. A rasdaman driver is a part of the GDAL (Geospatial Data Abstraction Library) library for geospatial data formats, a MapServer integration is available in beta. Access interfaces include OGC WCS, WCPS, and WPS, as well as C++ and Java APIs in addition to the rasdaman raster query language.

The rasdaman technology is stable and mature, deployed in production since over 10 years; the French National Geographic Institute runs rasdaman on a dozen-Terabyte airborne image map. At the ACM Principles of Database Systems Conference in 2007, raster database expert Rona Machlin characterizes rasdaman as “the most comprehensive implementation of such a system”.

Licence:

• clients and petascope: LGPL-3.0
• server engine: GPL-3.0

The project description quoted above is licensed by OSGeo under a Creative Commons Attribution 3.0 Unported License。