DSTi incorporates Xenomorph time series data technology

Source: DSTi

DST International (DSTi) – a leading provider of business solutions for the investment management industry today announced that it has signed an exclusive global agreement with Xenomorph to embed Xenomorph's market leading time series data management functionality into DSTi's Investment Data Solutions.

This arrangement will allow DSTi to exclusively use and build upon the Xenomorph technology in the asset management market to target the convergence of front-, mid- and back-office investment data needs.

Xenomorph's TimeScape technology delivers high performance storage and retrieval of mass time-series, matrix and curve data and high end instrument analytics. Behind TimeScape is the XDB, an object model database optimised to support storage, manipulation and retrieval of large scale time-series data. It provides analytic applications and "plug-ins", which can make complex analytics available in other applications, including Excel.

Steve Edkins, DSTi's COO, said, "The requirement for true time series data management is increasing in importance in the asset management industry. The functional silos in asset management are breaking down and the distinction between back office record keeping, mid office risk and performance and front office quant and research functions are disappearing. By embedding Xenomorph's technology into DSTi's Investment Data Solutions, DSTi will be able to offer an integrated data management platform that serves the needs of the entire investment management enterprise."

Greg Johnson, Xenomorph's COO, says: "We are delighted to be working with such a global market leader in the asset management arena. We are convinced that the combination of DSTi's expertise in asset management solutions and Xenomorph's expertise in time series data and analytics will result in the next generation of solutions that has never before been available to the institutional market."

DSTi will offer the time series function in the fourth quarter 2005.

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