SAP Drives Business Transformation Through Innovative "Big Data" Insights

LAS VEGAS, Feb. 20, 2013 /PRNewswire/ --  SAP AG  (NYSE: SAP) today announced the availability of SAP® Sybase® IQ 16 software, a critical component of SAP® Real-Time Data Platform. SAP Sybase IQ, the next-generation disk-based column store analytics server delivers speed and power for extreme-scale enterprise data warehousing and "big data" analytics with dramatic affordability and efficiency. With the latest version, SAP further extends an already robust logical data warehouse offering with software that helps organizations extend and exploit the value of big data to achieve insights that were previously almost impossible or impractical. The announcement was made at the TDWI Conference, being held February 17-22 in Las Vegas.

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The latest release of SAP Sybase IQ is faster, more secure and more adaptable to changing business requirements. By extending the power of analytics to more people and processes with less effort and expense, SAP Sybase IQ provides the SAP Real-Time Data Platform the ability to turn massive data into actionable insight at the speed of business.

"This latest release of the SAP Sybase IQ product line, now fully integrated into the overall SAP strategic direction, continues the vibrant innovation that has been its hallmark with technology for handling petabyte scale data," said Carl Olofson of IDC. "One such innovation includes the ability to make new data available as it is ingested so users can query it as it is mapped to columnar structures. This eliminates what had often become a bottleneck in processing large data warehouses. With this capability, SAP Sybase IQ should enable users to take full advantage of the ever-growing volume of new business data."

SAP Sybase IQ is integral to the company's data management vision, playing a clear role in the SAP Real-Time Data Platform as the near-line-store to the SAP HANA® platform that handles massive amounts of real-time and historical data. In addition, SAP Sybase IQ serves the customer need for extreme-scale enterprise data warehousing and big data analytics in some standalone deployment scenarios.

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