Multi-Dimensional
Datacube Management and Analytics
- easy, flexible, scalable, standards-based -


About

rasdaman ("raster data manager") allows management and analytics of massive multidimensional arrays ("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!

Features

  • 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

card image

Wanna try?

Wanna try?

It's easy! Just go to the datacube playground. Or download Debian packages, or - of course - the source code. For each step, there is ample documentation available, as well as professional support, including dedicated mailing lists. To cite rasdaman please usehttps://doi.org/10.5281/zenodo.1040170 !

card image

Worldwide Recognition

Worldwide Recognition

Independent experts unanimously attested that rasdaman "significantly transforms the way scientists access and use data in a way that hitherto was not possible". A series of international innovation awards recognizes rasdaman's lead in datacube analytics services. US CIO Review has picked rasdaman into their Most Promising Big Data Technologies, etc.

card image

Open-Source

Open-Source

The rasdaman team proudly contributes to the open-source community - rasdaman is OSGeo community project and part of the OSGeo Live DVD of particularly recommended open-source geo tools.

card image

Makers of Big Data Standards

Makers of Big Data Standards

Based on its unparalleled experience the rasdaman team is leading Big Datacube standardization in OGC and ISO shaping and driving the coverage and SQL datacube standards, often chairing the groups. The rasdaman array query language forms the blueprint for the ISO Array SQL and OGC WCPS datacube analytics standards.

rasdaman daily downloads