Stifel taps KX’s kdb+ for extreme data volume and velocity use cases

Rick Steves

“In choosing KX, Stifel can now offer world-leading trading analytics and insights, ultimately equipping them with the technology and tools needed to trade with better risk controls and better price protection.”

Stifel Financial Corp has selected KX to enhance market data analytics and drive real-time decision-making.

The full service brokerage and investment banking firm with over 8 billion shares traded annually in the United States will leverage the speed and scalability of kdb+ for data ingestion and processing to improve its trade execution analytics and operations in order to increase value for its clients.

kdb+ is one of the fastest time series database and real-time analytics engines in the market and is used by some of the world’s largest investment banks, regulators, and exchanges across the industry.  KX’s kdb+ timeseries database is independently benchmarked by STAC Research.

Kdb+ is suited for extreme data volume and velocity use cases

John Spensieri, Managing Director, Head of U.S. Equity Trading, Stifel, said: “Providing greater access to market-critical data helps empower our clients to make better, more informed decisions that help drive positive outcomes. KX is unique in its ability to marry disparate processes and metrics quickly, reliably and with flexibility. We are excited about this partnership and believe it further enhances our position as a best-in-class institutional global trading platform.”

Conor Twomey, Head of Customer Success, KX, added: “Stifel is one of the largest full-service investment banks in the U.S., and we’re thrilled to be working together toward its continued success. In choosing KX, Stifel can now offer world-leading trading analytics and insights, ultimately equipping them with the technology and tools needed to trade with better risk controls and better price protection.”

Kdb+ is suited for the demands of extreme data volume and velocity use cases, such as global trading, because it uniquely combines real-time, in-memory computing, a timeseries columnar database and an integrated, high-performance, vector-oriented programming language, q.

Firms leverage Kdb+ to capture, manage and process massive amounts of data in fractions of a second to power complex financial modelling and analytics.

In addition, the technology runs on all leading hyperscale clouds, enabling clients to take advantage of the agility of the cloud for their data-intensive analytics workloads while gaining the performance efficiency kdb+ is known for. Out-of-the-box support for SQL and Python enables developers and data scientists to use their favorite programming languages and tools to derive faster insights.

 

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