An Elegant Solution to Optimizing Analytics Performance on your Data Cloud
AtScale extends the capabilities of modern cloud data platforms to deliver “last-mile” performance acceleration and enhancement of user experience for BI and analytics workloads. Modern cloud data platforms simplify the centralization of data assets and deliver powerful and flexible query access.
However, delivering a speed-of-thought analytics experience on large data sets requires another level of data engineering beyond the capabilities of business users. AtScale simplifies and automates data engineering by autonomously defining, orchestrating, and materializing performance acceleration structures to support the analytics user experience. All queries and temporary views are orchestrated on the cloud data platform.
Simplify Data Pipelines
AtScale builds metrics using a powerful query virtualization platform, meaning data is not physically moved to make metrics available for consumption. Once a metric is published, the data pipeline is automatically defined.
As users request data cuts, AtScale dynamically generates queries against source data using the predefined metrics. This approach radically simplifies analytics data pipelines while hardening against disruption caused by changes to underlying data.
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 that find the most efficient approach by leveraging aggregates and queries against source data.
Live Connection to Cloud Data Platforms
Accelerate BI and analytics workloads while managing resource consumption for leading cloud data platforms.
