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 Microsoft SSAS and Traditional OLAP
Query acceleration solutions based on pre-calculated OLAP cubes are complex, resource intensive, and fundamentally disconnected from source data. The practical challenge of maintaining cubes in large organizations inevitably leads to complex data pipelines and shadow analytics programs with no central governance.
While cloud data platforms have democratized the ability to centrally manage large data sets, traditional approaches to delivering speed of thought analytics have not kept up.
Intelligent Aggregate Management
Aggregates are automatically designed and created based on user query behavior and potential benefit to analytics performance.
Dynamic Query Pushdown
User requested data cuts are converted to optimized SQL and passed to cloud data platforms. Aggregate creation and transformations all execute on the same data platform as raw data, eliminating unnecessary data movement.
Graph-based Query Planning
Queries can be planned automatically using graph-based algorithms. These algorithms find the most efficient approach by leveraging aggregates and queries against source data.
