By Mayank Bawa in Data-Analytics Server, Statements on November 16, 2009

SAS Institute

We are very excited to announce a strategic partnership between Aster Data and SAS Institute to further accelerate the “SAS In-Database Processing” initiative.

The objective of the partnership is to integrate SAS software capabilities within our MPP database which Aster Data’s 4.0 release uniquely supports. Last week we announced the capability to fully push down analytics application logic inside our MPP database so applications can now inside the database allowing analytics to be performed on massive data scales with very fast response.  We call this a Massively Parallel Data-Application Server. We had earlier presented more details on this unique implementation of SAS software inside Aster Data’s nCluster software at a co-hosted session with SAS at M2009.

Our architecture enables SAS software procs to run natively inside the database thereby preserving the statistical integrity of SAS software computations while giving unprecedented performance increases during analysis of large data sets. SAS Institute partners in this initiative with other databases too - but the difference is that each of these databases require the re-implementation of SAS software procs as proprietary UDFs or Stored Procedures.

We also allow dynamic workload management capabilities to enable graceful resource sharing between SAS software computations, SQL queries, loads, backups and scale-outs - all of which may be going on concurrently. The workload management enables administrators to dial-up or dial-down resources to the data mining operations based on the criticality of the mining and other tasks being performed.

Our fast loading and trickle feed capabilities ensure that SAS software procs have access to fresh data for modeling and scoring, ensuring a timely and accurate analysis. This avoids the need to export snapshots (or samples) of data to an external SAS server for analysis, saving analysts valuable time in their iterations and discovery cycles.

We’ve been working with SAS Institute for a while now, and it is very evident why SAS has been the market leader in analytic applications for three decades. The technology team is very sharp, driven to innovate and execute. And as a result we’ve achieved a lot working together in a short time.

We look forward to working with SAS Institute to dramatically advance analytics for big data!

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