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”.
- true multi-dimensionality - from 1-D over 2-D to 3-D, 4-D, and beyond
- powerful, flexible query language for tasks such as visualization, classification, convolution, aggregation, and many more geospatial functions
- spatial indexing anda adaptive tiling for fast data access
- tile streaming for scalability and high performance on moderate hardware
- multi-user support through server multiplexing
- full information integration of raster data with all other geographic data in the PostgreSQL database
- OGC WCS 2.0, WCPS 1.0, WPS 1.0
Website: www.rasdaman.org
Licence:
Software Version: 8.3
Supported Platforms: Linux, Mac, Solaris
API Interfaces: rasql, C++, Java; OGC-based WCS, WCPS, WCS-T, and WPS interfaces
Support: www.rasdaman.com