PLEASANTON, CA - April 11, 2006 - iSpheres Corporation, leader in the complex event processing of streaming data, today released version 5.5 of the iSpheres Event Server, a complex event processing (CEP) engine used for financial applications requiring low latency streaming data capture, analysis, and action. With version 5.5, Event Server supports distributed processing scaling to millions of transactions per second.
Event Server's distributed processing enables financial firms working with extremely high streaming data volumes -- such as those needed for real-time fraud detection/compliance and pre-trade risk management -- to achieve greater throughput from the ability to partition event streams across multiple servers.
"Customers now have enormous flexibility in how they implement complex event processing," said Deepak Gupta, iSpheres CEO. "They can send data streams to specific servers based on function, for example to a data cleansing server or an analytics crunching server. Distributing streams makes for a faster and better-tuned CEP environment and one with the nearly limitless scalability that today's trading volumes demand. We're giving firms a level of precision in handling their streaming data that the CEP industry hasn't offered before."
As with previous releases of Event Server, version 5.5 can be implemented on a single computer. However, the distributed processing functions in Event Server 5.5 support expandability to thousands of streams and millions of transactions per second.
Configuration of Event Server 5.5 is as flexible as it is scalable. Users determine the configuration they require and can assign specific servers to the serial or parallel execution of functions such as arbitrage identification, direct market data filtering and transformation, real-time updating of historical baselines, and other pre-trade opportunities.
Event Server 5.5 also features new tools for performance monitoring and analysis, enabling administrators to identify and correct problems easily, a capability that becomes increasingly important as distributed Event Server networks grow.