The Analytics Database is designed for decision support. It includes embedded analytic functions supporting the high-speed analytics processing required to operationalize analytics.
It handles complex data requirements and manages the data warehouse environment through the use of a parallel implementation that distributes data and balances workloads. Parallel processing is an efficient method of handling complex tasks including ad hoc queries, as it breaks a task into smaller subtasks that are managed concurrently by multiple work units.
The support of query and workload parallelism in the Analytics Database enables better performance and higher throughput levels than a relational database management system.
Learn more: Analytics Database Documentation.