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Newsbyte: SAP And Partners Set New Record For World's Largest Data Warehouse

PALO ALTO, Calif., March 5, 2014 /PRNewswire/ --  SAP NEWSBYTE — SAP AG (NYSE: SAP) today announced that with a team of technology partners, including BMMsoft, HP, Intel, NetApp, and Red Hat, it has generated a new world record for the world's largest data warehouse using the SAP HANA® platform and SAP® IQ software. This independently audited 12.1PB data warehouse has been recognized by Guinness World Records, and is four times larger than the prior record. The announcement was made during a press conference held March 5 in Palo Alto, Calif.
SAP Logo.

"Setting a new world record with the combination of SAP HANA and SAP IQ was a 'moonshot' challenge I had laid out for our engineering team," said Dr. Vishal Sikka, member of the Executive Board of SAP AG, Products & Innovation. "Our goal was to set new limits in bringing Big Data together with fast, ad hoc and scalable analytics. SAP has shown the ability of our platform to achieve such an incredible result, demonstrating a cost-effective and high-performance approach toward solving extreme problems in Big Data and analytics."

This new world record demonstrates the ability of SAP HANA and SAP IQ to efficiently handle extreme-scale enterprise data warehouse and Big Data analytics. SAP and its partners had previously set a world record for loading and indexing Big Data at 34.3 Terabytes per hour.

A team of engineers from SAP, BMMsoft, HP, Intel, NetApp, and Red Hat, built the data warehouse using SAP HANA and SAP IQ 16, with BMMsoft Federated EDMT running on HP DL580 servers using Intel® Xeon® E7-4870 processors under Red Hat Enterprise Linux 6 and NetApp FAS6290 and E5460 storage. The development and testing of the 12.1PB data warehouse was conducted by the team at the SAP/Intel Petascale lab in Santa Clara, Calif., and audited by InfoSizing, an independent Transaction Processing Council certified auditor.

SAP makes it simpler and more cost-effective to exploit the value of massive amounts of data at the speed of business, helping to transform companies through new insights that were previously impossible or impractical.

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