Speed of Thought Analytics with AtScale
AtScale solutions help data-driven teams overcome the physics of cloud-scale data with a modern approach to analytics query acceleration.
The Limitations of Traditional OLAP
Traditional OLAP technologies create “cubes” by copying and aggregating data from data warehouses or data lakes into proprietary data structures. Since cubes need to be pre-calculated and refreshed, traditional OLAP technologies limit the size, complexity and scale of data while creating governance headaches, operational complexity and duplicative data silos.
Traditional OLAP technologies are fundamentally incompatible with modern cloud data platforms that seek to centralize data access, simplify data governance and eliminate data silos.
Intelligent Aggregate Management
Aggregates are automatically created and maintained based on user query behavior and query statistics.
Dynamic Query Pushdown
Logical user queries are converted into optimized, data platform-specific SQL to scale seamlessly with cloud data platforms.
Graph-based Query Planning
Leveraging the multidimensional semantic model, AtScale’s engine creates optimal query plans using graph-based algorithms that leverage aggregates to boost query performance and lower costs.
