For details of the performance lab, read the white paper.

The results of the tests were very impressive, confirming that the joint solution can fully meet the performance and scalability requirements of very large tier-one customers. Highlights of the tests include the following:

• The system demonstrated excellent performance at normal and peak loads, with a throughput of up to 34,949 business transactions per hour for a normal load and 113,243 transactions per hour for a peak load.
• The system scaled from 140 concurrent users to 1,632 concurrent users with excellent throughput and response times.
• The system experienced response times of less than three seconds for more than 90 percent of individual transactions.

For details, read the white paper.

The results of the tests were excellent, confirming the performance and scalability of Quicksolver on SQL Server and Windows Server. See the white paper for the results of the tests, and for details about the test environment and the test methodology used.

The results of the tests were very impressive, confirming that the joint solution can meet the performance and scalability requirements of very large tier-one insurance carriers. Highlights of the tests include the following:

• Performance exceeded expectations. At peak production and with a simulated user community of 20,000, the system was able to process approximately $142 million in premium/hour and close to 70,000 transactions/day (including nightly batch renewals).
• The system also demonstrated tremendous scalability. The tests showed that new business premium tripled from $8.55 million/hour to $25.19 million/hour when the workload and number of processing servers was tripled.
• Policy page response times were less than 2 seconds for average-size and large-size policies (which make up 99% of a typical tier-one insurance carrier’s workload).

For details of the benchmark tests, read the white paper.

To confirm the performance and scalability of the solution, CSC and Microsoft conducted benchmark testing on CSC’s Integral group and life insurance components running on SQL Server 2012 Enterprise and Windows Server 2008 R2 Enterprise. The results were very impressive. The group insurance component scaled to 330 concurrent users running against a 50,000-member database with a complex policy structure, and the life insurance component demonstrated a near-linear scalability to 1,500 concurrent users running against a database of 1 million policies--maintaining excellent performance in both cases. These results confirm that SQL Server is an
excellent choice for CSC’s Integral licensees.

For details of the benchmark tests, see:

CSC Integral Group and Microsoft SQL Server solution brief,

CSC Integral Group and Microsoft SQL Server benchmark white paper,

CSC Integral Life and Microsoft SQL Server solution brief,

CSC Integral Life and Microsoft SQL Server benchmark white paper.

To confirm the performance and scalability of PIMS Platinum running on SQL Server 2012 and on Windows Server 2008 R2, AspenTech and Microsoft conducted joint benchmark testing using a typical refinery planning model and up to 1,800 planning case instances. The tests demonstrated that as the amount of data and the number of concurrent users increase, the joint solution continues to provide real-time results. Aspen PIMS Platinum running on SQL Server 2012 scales to support local, workgroup, and enterprise deployments, and provides an effective new way for planners to visualize results and share them across their organization.

For the details, read the white paper.

Bank SinoPac - a full-service Taiwan-based commercial bank with more than 3 million customers, 129 branches, and 2 million transactions per day - turned to Temenos and Microsoft in an effort to differentiate itself more clearly and enter new growth areas while managing its cost base. In July of 2012, Bank SinoPac went live with TEMENOS T24 running on SQL Server and Windows Server. The results have been amazing:

• The time to complete the daily close-of-business (COB) has fallen by 70% (from 13 hours to 4 hours).
• The month-end COB takes 6 hours less than before.
• The batch input/ouput daily and monthly processing times are 1.4 and 3 hours shorter than before.
• Annual hardware and software maintenance costs have been reduced by 50%.
• SinoPac has substantially condensed its product go-to-market cycle, and now has a single integrated platform for expansion to mainland China and beyond.

These benefits will be amplified as Bank SinoPac grows, thanks to the proven scalability and resilience of the platform.

For the details, read the case study.

Misys and Microsoft worked together on a series of benchmarking tests to compare the performance of Kondor+ 3.3 and of the MGR components running on SQL Server 2008 R2 Enterprise and Windows Server 2008 R2 Enterprise to that of the solutions running on the Sybase ASE 15.5 data manager.

The test results were very impressive! Kondor+ and the MGR components running on SQL Server and Windows Server as the database back-end outperformed Sybase ASE in a majority of the test scenarios and matched performance in the others. Results included a 263% performance improvement for running Kondor+ financial reports and a 53% improvement for completing an MGR batch credit limit task.

For the details, read the white paper.

The benchmark testing results were very impressive, with a peak ingestion of 995,000 email messages in a single hour, 14.8 million messages in a 24-hour period, or 171 messages per second—up to 15 times what existing customers typically
ingest. In addition, the test results showed that OpenText Email Monitoring can maintain very high ingestion rates, even while processing disposition actions. Records Management was able to destroy 8.65 million emails in the same period in which another 7.2 million emails were ingested—confirming that Records Management can keep up with even the busiest email monitoring environments.

Detailed results, as well as information about the test environment and about the server configurations used, can be found in the white paper.