Aster Data Expands Ecosystem for Advanced Analytics on Big Data Via SAS/ACCESS to Aster Data nCluster
Customers to gain richer, faster analytics on big data with SAS/ACCESS
San Carlos, Calif. - February 17, 2010 - Aster Data, a proven leader dedicated to providing the best data processing and data management platform for big data applications, today announced the availability of a SAS/ACCESS® interface engine for Aster Data nCluster, a Data-Application Server which is a highly scalable, massively parallel processing (MPP) data warehouse and analytics solution for big data. The SAS/ACCESS interface is one element of a broader partnership with SAS which strengthens interoperability by providing direct, native connectivity between SAS and Aster Data’s nCluster that provides SAS users with the ability to leverage Aster Data’s SQL-MapReduce for faster, deeper analytics on big data. SAS/ACCESS combines Aster Data’s best-of-breed data management with SAS leadership in data quality, data integration and analytics to enable business analysts to more easily unlock more intelligence from their data.
“Our vision of enabling richer data analytics and big data management for the enterprise is advanced by broadening our support and connectivity to the leading analytic and business analysis tools. SAS choosing to work with Aster Data validates our ability to provide the best big data management platform for advanced analytics and data-driven applications,” said Tasso Argyros, CTO, Aster Data. “By broadening our partnership with SAS, we’re providing superior access for SAS data miners and business analysts that enables them to derive faster insights from their data by taking advantage of the performance, scale, and unique ability to run application logic with data in a massively-parallel fashion within Aster Data nCluster.”
SAS/ACCESS to Aster Data allows SAS customers to accelerate the data mining process, gain faster business insights, and enable advanced analytics on large data volumes. Unique capabilities of the SAS/ACCESS interface for Aster Data nCluster include optimized bulk-loading of data through the Aster Data nCluster for efficient access to large data sets, and the ability to natively access SQL-MapReduce from within a SAS session. Both capabilities accelerate data access and maximize performance for large-scale analytics.
“The introduction of SAS/ACCESS to Aster Data’s solution will allow customers to more transparently connect to Aster Data and provide business analysts the ability to work with large data sets,” said Keith Collins, SAS Vice President and Chief Technology Officer. “With Aster Data, we make it easier for organizations to build faster analytic applications and provide their business analysts a way to get the quick answers they need to make better business decisions.”
The SAS/ACCESS interface is the foundation of SAS' Enterprise Data Integration capabilities and is able to read, write, and update data regardless of the native database or platform. The SAS/ACCESS interface to Aster Data nCluster provides seamless connectivity between the two products by going beyond interfacing via standard ODBC.
About Aster Data
Aster Data is a proven leader in big data management and big data analysis for data-driven applications. Aster Data’s nCluster is the first MPP data warehouse architecture that allows applications to be fully embedded within the database engine to enable ultra-fast, deep analysis of massive data sets. Aster Data's unique “applications-within™” approach allows application logic to exist and execute with the data itself. Termed a “Massively Parallel Data-Application Server,” Aster Data’s solution effectively utilizes Aster’s patent-pending SQL-MapReduce together with parallelized data processing and applications to address the big data challenge. Companies using Aster Data include Coremetrics, MySpace, Akamai, Full Tilt Poker, and ShareThis. Aster Data is headquartered in San Carlos, California and is backed by Sequoia Capital, JAFCO Ventures, IVP, and Cambrian Ventures, as well as industry visionaries including David Cheriton, Ron Conway, and Rajeev Motwani. For more information please visit http://www.asterdata.com, or call 1.888.Aster.Data.
Aster Data, Aster Data nCluster, the Aster logo and Applications-Within™ are registered trademarks of Aster Data. All other brands and trademarks referenced herein are acknowledged to be trademarks or registered trademarks of their respective holders.
Marlena Fernandez Berkowitz
ZAG Communications for Aster Data Systems