UniCredit HypoVereinsbank (HVB) Selects Kx Systems for Realtime Cross-Asset Trading

Palo Alto - 5 February 2007

Kdb+ Database, Kdb+tick and Q Language Provide Streaming and Historical Query Capabilities Across Multiple Trading Desks

Kx Systems, leader in high-performance databases and timeseries analysis, today announced that HypoVereinsbank (HVB) has gone into production with a cross-asset database system for proprietary trading desks in Munich and London. The Kx solution is being used to capture and analyze millions of streaming market ticks for immediate realtime analysis and perform complex analytics on historical data.

The Kdb+tick application layers on top of the kdb+ database to provide multi-asset traders with an accurate and instant view of global markets. They can capture and analyze millions of ticks as well as terabytes of historical data and achieve impressively fast results on both. The “q” language, designed to deliver fast application and query performance on very large databases and on time-ordered data, was used throughout the entire system to create a unified platform architecture with very low latency between data capture and analysis.

“We reviewed several database solutions and no other vendor offered us the ability to process streaming, realtime and historical data within one architecture,” said Thilo Friess, Project Manager, HVB. “We trade multiple asset classes in many different markets and we needed a flexible system with a built-in programming language to make it simple to add additional instruments and expand to more trading desks. Kx beat the other vendors we evaluated in every performance category that was important to us.”

"HVB is the ideal example of how customers performing cross-asset trading in different geographies can use our unified platform and flexible programming language to gain competitive advantage,” commented Simon Garland, Kx CTO. "We gave HVB the tools to build a custom system on 64-bit hardware that met the specific requirements of their proprietary trading desks and allowed them to optimize trading opportunities much more quickly than their competition.”

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