rasdaman GmbH
Member Since: 2024 
Hans-Hermann-Sieling Str. 17
Bremen 28758
Germany

Telephone:
  +49-1735837882

Email:

:
Peter Baumann

Business Focus:
Germany-based rasdaman GmbH is an independent high-tech SME founded as an academic spin-off for commercializing the multi-award winning datacube engine rasdaman (?raster data manager?). Scientfic benchmarks con¬firm: the pioneer Array Database remains the fastest by far.

Products/Services:
Today's international cooperation, like in the Federated Mission Networking (FMN) context, requires all "operating off the same map" where each partner receives (and contributes) "the right data, at the right time, in the right format" - think of analyst desktops versus small moving vehicles and their different needs and capabilities. With rasdaman, this is achieved in the realm of spatio-temporal Big Data, such as satellite image timeseries and weather data. In a location-transparent federation of autonomous nodes communicating secured, rasdaman enables access, extraction, analysis, AI, and distributed fusion in an extremely fast, flexible, and scalable manner ("any query, anytime, on any size"). Big Datacube Analytics in Earth and Space, with location-transparent federation, is the key innovation brought by our 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. rasdaman is mature and operational on Multi-Petabyte data assets; queries have been parallelized 1,000x in the Amazon cloud. Its enabling high-level datacube query language has made rasdaman the blueprint for the Big Datacube standards of OGC, ISO, and EU INSPIRE. Awards: ? NATO Defence Innovation Challenge Award ? Tech Connect World Innovation Award ? Copernicus Masters Big Data Challenge Award ? DIN Innovation Award ? DatSci&AI Award ? Geospatial World Forum Innovation Award ? OGC Kenneth Gardels Award ? NASA WorldWind Europe Challenge Winner

Clients:
Airbus, Telefonica, German mapping agencies, University of Alaska at Fairbanks, National Supercomputing Centre Taiwan, etc.