The Unisys Enterprise Server ES7000 has recorded the lowest cost per transaction of any single server in the top 10-performance list of systems tested with TPC-C benchmark, the computer market`s standard measure of server transaction performance. This achievement signals further reduction in the cost and complexity of handling large volumes of complex online transactions that make up the lifeblood of today`s online businesses.
Scoring 203 518 transactions per minute (tpmC), the Unisys ES7000 confirmed its position as the highest-performance 32-bit server available, extending the value of Intel IA-32-based applications, the most widely used solutions in the market.
The combination of Unisys, Microsoft and Intel technology increasingly challenges Unix/Risc systems on a raw performance basis, bringing the superior economics of technology to the largest, most complex solutions used by global businesses.
"Microsoft has grown to expect the Unisys ES7000 to demonstrate the economic advantages of Windows-based computing and is thrilled to see it again beating some larger Unix-based systems on a raw performance basis," says Bob Ellsworth, director, Windows Server Group at Microsoft. "To appreciate the full significance of this achievement, one has to take into account the fact that Microsoft has just scratched the surface of what is possible when new 64-bit technologies from Unisys, Microsoft and Intel come into play."
The test was conducted using the Transaction Processing Council`s C methodology for measuring online transaction processing (OLTP) performance. The benchmark is modelled after actual transaction-intensive production environments and features multiple transaction types against a complex database structure typical of large-scale business applications.
"As significant as these results are, they tell only part of the story," says Allan Currie, director, systems and technology at Unisys Africa. "What is not measured here is the simplicity and TCO advantage associated with scaling up on a single large server instead of clustering across many commodity systems. For instance, scaling up enables businesses to eliminate the additional technical effort and complexity associated with deploying and managing a scaled-out database environment. This, in turn, reduces the overall costs of managing transaction-intensive solutions."
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