Analyzing various features in statistical and business data creates high-dimensional data spaces. Statistics tools as well as ROLAP and MOLAP database systems try with different methods to conquer the complex queries run on those high data volumes. rasdaman combines the flexibility and scalability of ROLAP with the performance of MOLAP.
Statistical evaluations are a simple task in the SQL-oriented rasdaman query language. Optimizations within the intelligent query engine reduce processing time to the minimum. High-dimensional sparse data cubes are handled smoothly with the transparent compression feature.
Get new insights in your hypercubes with rasdaman!