Big Datacube Analytics in Earth and Space, with location-transparent federated, is the key innovation brought by Constructor University and its spin-off, rasdaman GmbH. Our rasdaman engine offers best-of-breed performance, seamless scalability from nanosats to cloud to superscale data centers), flexibility (any query, anytime, with zero coding), and AI integration on spatio-temporal sensors, images, image timeseries, weather/climate timeseries, etc.
The rasdaman AI-Cube™ technology has pioneered Big Datacube Analytics for spatio-temporal Earth data and beyond. The AI-enabled engine is renowned for its performance and scalability in the zero-coding mix-and-match, management, and federation of multi-dimensional datacubes. Industry, agency, and science users obtain unprecedented actionable insights by combining their own data with external data, under strict security. All datacube wrangling is strictly based on the open OGC standards, enabling users to remain in the comfort zone of their well-known clients. Additionally, the built-in dashboard allows quick configuration of customized clients. Recently, the rasdaman engine has been enhanced with the GreenCube® innovation which minimizes energy consumption in Big Data Analytics while retaining full flexibility.
The rasdaman datacube engine has received a series of innovation awards: NATO Defence Innovation Challenge Award, Tech Connect World Innovation Award, Copernicus Masters Big Data Challenge Award, Geospatial World Forum Innovation Award, DIN Innovators Award, DatSci & AI runner-up, OGC Kenneth Gardels Award, NASA WorldWind Europe Challenge Winner, and more.