SAS^® Scalable Performance Data Server

Boost your subset information gathering speed.

Most reporting and analytic applications require only a subset of enterprise data. Our solution uses parallel storage technologies and hardware to reduce overhead, such as the two-phase commit that's incurred with transactional systems. This significantly shortens search and delivery times.

Optimize reporting and analytic performance.

By separating transactional data stores from reporting and analytic application data stores, you can tune each for the appropriate task requirements. The result is better performance for reporting and analysis while reducing the load on operational systems.

Reduce data integration processing times, regardless of data size.

An integrated extraction, transformation and loading process moves data from transactional systems to the SAS Scalable Performance Data Server using parallel storage and efficient indexing. This reduces processing time, allowing rapid refreshes of data and indexes, regardless of data size. Integrated metadata ensures data consistency and reduces the time spent maintaining vast quantities of data.

• Partitioning and parallel processing.
• Unique indexing technology.
• Query optimization.

• SQL pass-through support.
• Management and security.
• Support for Hadoop distributions (Hortonworks, MapR and Cloudera).