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Sophis Joins With GemStone To Empower Risk Mgmt Solutions

With the GemFire solution embedded in its products, Sophis customers can have access to the data management functionality inherent in the GemFire software.

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FP Archives|Jan 31, 2017, 02:21:42 IST

GemStone Systems, a provider of data infrastructure technologies, has partnered with Sophis, a provider of cross-asset, front-to-back trading and risk management solutions for investment banks, asset managers, hedge funds and insurance companies. By embedding the GemFire data fabric in its RISQUE (sell-side) and VALUE (buy-side) solutions, Sophis will provide its clients access to GemFire’s low-latency, high-throughput and continuous availability features for business-critical data.

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Financial professionals working with trading and risk systems require immediate access to data to make the decisions most crucial to their day-to-day operations. For this, they need technology solutions that can deliver this data reliably in real-time, ensuring that they are making the best possible decisions based on the information at their disposal.

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Companies’ leverage Sophis’ solutions to risk manage and process their trading activities with massive amounts of data sourced from specialist providers and derived data calculated in the system. With the GemFire solution embedded in its products, Sophis customers can have access to the data management functionality inherent in the GemFire software. Consequently, Sophis users will experience shortened access times to calculated data and capabilities for faster critical risk measures – in an economic environment where managing risk is of utmost importance.

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Samer Ballouk, global head of product management and business development, Sophis, said, "By progressively embedding GemStone’s technology in our solutions, we will ensure that our customers will be able to access an ever broader range of critical calculated data at the speed that business requires, and with the knowledge that the data they’re receiving is currently the most accurate and reliable, thanks to distributed data cache technology."

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First Published:Jun 01, 2009, 15:38:15 IST
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