SAS joins with EMC and Teradata on fast analytics

SAS Teams With EMC And Teradata -- And Not IBM -- On High-Performance Analytics

New approach supports high-performance modeling and scoring against complete data sets, promising greater accuracy in predictive risk-analysis, fraud-detection and optimization scenarios.

Analytic software giant SAS on Tuesday announced what it describes as a breakthrough approach in high-performance big-data analysis.

And in a apparent realignment in the wake of last year's big-data consolidation, SAS is partnering most closely with EMC and Teradata. EMC last year acquired Greenplum while Teradata recently acquired Aster Data. EMC and Teradata are independents that do not compete head-on with SAS as does IBM, which is recent years has acquired SAS competitors Cognos and SPSS. Late last year IBM also acquired Netezza, a big-data appliance vendor (and SAS partner) that goes head to head with EMC Greenplum and Teradata.

SAS's new approach, called High-Performance Analytics (HPA) , is an advance over the vendor's prior in-database processing approach in that it supports modeling as well as scoring procedures. ...

HPA supports modeling against complete data sets, eliminating the need for sampling and ensuring more accurate predictive models for risk analysis, fraud detection, optimization and other needs. It does so by relying on EMC and Teradata's powerful parallel-processing environments, which spread the analysis work across hundreds if not thousands of independent compute nodes.

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Here is SAS official press release:

SAS to offer high-performance analytics on EMC Greenplum database appliance.