High-Performance Analytics from SAS

Demands on IT to deliver a scalable environment and faster response times continue to increase as more data, users and applications are being utilized to solve complex business problems.

SAS is investing in high performance computing technologies to deliver better performance, manage diverse workloads and guarantee uptime in order to meet new business demands.

SAS currently offers high-performance computing technology in the form of SAS In-Database and SAS Grid Computing. SAS is taking high-performance computing a step further with SAS In-Memory Analytics, creating a single system to analyze massive amounts of data in parallel and answer complex business questions in real time. Select SAS solutions will leverage SAS In-Memory Analytics (patent pending) across a specialized grid configuration to solve even larger and complex business problems in parallel, that were not previously possible, with speed and effectiveness.

Components of High-Performance Analytics from SAS

• Grid Computing – Leverage a centrally managed grid infrastructure to achieve dynamic workload balancing, high availability and parallel processing for data management, analytics and reporting.
• In-Database Analytics – Natively execute relevant SAS software functions inside databases to improve data governance and reduce the time needed to build, deploy and update analytical models.
• In-Memory Analytics – Solve complex problems using big data and sophisticated analytics in a distributed, in-memory environment to make better decisions within tight time frames.

How SAS^® Is Different

• Find answers to your most complex problems faster than ever before. SAS offers an integrated set of high-performance-enabled information management, analytics and business intelligence capabilities to ensure customer success. This extends SAS' leadership in the business analytics software market segment.
• Transform your big data assets into true business value. SAS leads the way in empowering organizations to transform their structured and unstructured assets into business value using big data analytics with multiple deployment options. SAS offers flexible architecture approaches that can address new business requirements and remove analytics constraints.
• Solve your specific business problems with targeted, high-performance analytic applications.  SAS continues to solve some of the most complex domain and vertical-specific business issues in the world. Every level of SAS software, including targeted business solutions, leverages high-performance analytics components to address needs posed by big data and complex problems.
• Not all in-memory approaches are created equal! SAS In-Memory Analytics capabilities are purpose-built with analytical workloads in mind to solve complex business problems – it is not just about running queries, descriptive statistics and database workload in an in-memory environment.