Sun and Manugistics Set New Scalability Performance Record

ROCKVILLE, Md. and SANTA CLARA, Calif., -- Manugistics Group, Inc., and Sun Microsystems announced the companies are working together to boost performance for enterprise-wide fulfillment and replenishment planning systems for retail customers with a lower cost of ownership. As evidence, the two companies today announced performance results for Manugistics NetWORKS Fulfillment 7.0 on the Sun configuration netted a 22% performance improvement over previous benchmarks on other platforms, at a dramatically lower price point. During recent testing at Sun Microsystems Enterprise Technology Center Garrison Labs, engineers from Sun and Manugistics completed a 42-day stock- keeping replenishment plan of 12.4 million stock keeping units (SKUs) in one hour and 22 minutes. The performance test determines throughput for complex retail supply chain management. Engineers calculated more than nine million SKUs or 381 million planning elements per hour, results that are 22 percent greater than previous non-Sun performance results per processor and on an overall throughput basis. These benchmark results are posted at http://www.sun.com/manugistics . Sun engineers tested the retail solution on 32 UltraSPARC III Cu processors running at 900 MHz on a Sun Fire(TM) 6800 server and a Sun Fire(TM) V880 server, with Sun StorEdge(TM) T3 disk arrays. The Sun configuration used approximately one-tenth of the memory and approximately half of the storage used in a competitor's previous test. Moreover, the Sun configuration has a significantly lower cost than other competing platform configurations, positioning Sun as the leader in overall performance per-CPU with a lower total cost of ownership (TCO) running Manugistics NetWORKS Fulfillment 7.0. Both companies agree, these breakthrough results were aided by Manugistics' leveraging of Java(TM) technology and intensive engineering collaboration and performance tuning, to help retailers of all sizes to deploy enterprise-wide fulfillment replenishment planning systems with much lower cost.