rasdaman ("raster data manager") allows management and analytics of massive
("datacubes") such as
sensor, image, simulation, and statistics data appearing in domains like
Earth, Space, and Life sciences. In particular its flexibility, performance,
scalability, and support for open standards make rasdaman stand out.
From simple geo imagery services up to complex analytics, rasdaman provides the
whole spectrum of functionality on spatio-temporal raster data -
on regular and irregular grids, accessible through your well-known clients,
from Leaflet over NASA WorldWind and QGIS to R and Python.
Actionable datacubes from the inventors who
pioneered Array Databases.
Much has happened since then - see the
latest news for
what is going on lately in the rasdaman and standardization universe!
- Domain-independent Array DBMS for raster data management
- Domain-independent rasql query language for multidimensional arrays (equivalent to ISO SQL/MDA)
- Geospatial data support out of the box with the latest OGC geo standards, including
WCS 2.0.1, WCPS 1.0, WMS 1.3, WMTS 1.0
- Flexible and powerful tool for data import
- Data export to a variety of 2D data formats via GDAL, and nD formats including netCDF and JSON.
- Tunable tiling schemes for squeezing maximum performance on a variety of data access patterns
- Easy deployment on Ubuntu LTS with Debian packages through stable, testing, and nightly repositories
- Comprehensive documentation