Oracle announced that Oracle Database 11g Release 2 running on Oracle’s SPARC Enterprise M9000 Server with 64 SPARC64 VII+ 3.0 GHz quad-core processors has set a new world record on the SAP Assemble-to-Order (ATO) standard application benchmark, delivering a record result of 206,360 fully business processed assembly orders per hour. In running this benchmark both the application tier and the database tier were deployed on a single SPARC Enterprise M9000 server, demonstrating its capabilities for workload consolidation.
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Oracle has announced superior performance in a recently completed benchmark test of Oracle Insurance Policy Administration for Life and Annuity Version 9.3 running on Oracle Exadata Database Machine X2-2 and Sun SPARC Enterprise M9000 application servers.
The benchmark included 100 million policies and more than 2,000 concurrent users. According to the Oracle press release, the findings show that the technology combination can enable even the largest Tier One insurers to achieve the scalability, system availability and performance needed to meet increasingly rigorous requirements for better customer service and reduced risk.
The benchmark performance test included a data set containing five years of financial history, totaling nearly 30 terabytes of data.
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The superior scalability of Oracle Database 11g Release 2 running on Oracle’s SPARC Enterprise M9000 server was proven as the configuration established a new world record non-clustered TPC-H 3TB benchmark result, delivering nearly twice the performance of the previous best score, also an Oracle record. Running on a SPARC Enterprise M9000 server, equipped with 64 SPARC64 VII+ 3.0 GHz processors, and Sun Storage 6180 arrays, Oracle Database 11g Release 2 with Oracle Solaris achieved a world record TPC-H 3 TB non-clustered performance result of 386,478 QphH@3000GB with a price of $19.25/QphH@3000GB, according to Oracle's press release. This result is 2.4 times faster than the IBM Power 595 system; the entire database loaded 3.3 times faster than the IBM Power 595 while maintaining the highest level of data protection at a lower cost per transaction. Neither IBM nor HP matched this level of performance in the 3TB scale factor category using a single system, Oracle's release concludes, which further highlights the performance capabilities of multi-processor SPARC systems in the most demanding enterprise application environments.
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Performance testing of Oracle Reveleus Liquidity Risk Management on the Oracle Exadata Database Machine X2-2 revealed extreme performance for liquidity computations, enabling financial institutions to now estimate liquidity gaps under baseline and stressed conditions and devise appropriate contingency funding strategies in minutes, Oracle reports. Specifically, Oracle Reveleus Liquidity Risk Management running on Oracle Exadata Database Machine X2-2 calculated business-as-usual liquidity gaps for 370 million cash flows across 65 million accounts in just 69 minutes. After applying modified behavior assumptions to simulate adverse market conditions, stressed liquidity gaps were calculated in only 10 minutes. Oracle reveals that testing was completed using a full-rack Oracle Exadata Database Machine X2-2 running Oracle Database 11g and Oracle Real Application Clusters with the Oracle Reveleus Liquidity Risk Management and the application tier running on Oracle's Sun SPARC Enterprise M9000 server running Oracle Solaris.
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Oracle reports that the Oracle Financial Services Profitability Management solution running on the Oracle Exadata Database Machine computed profitability for 172 allocation rules across 250 million accounts and more than 1 billion transactions in only 4 hours and 45 minutes. These results, Oracle contends, demonstrate the practical possibility of generating detailed profitability reports at the account level on a daily, even intra-day basis. The performance testing was performed using a full-rack Oracle Exadata Database Machine running Oracle Database 11g and Oracle Real Application Clusters. The application tier was installed on Oracle's Sun SPARC Enterprise M9000 server running Oracle Solaris to drive the load.
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