SOLUTIONS FOR

Kx technology was created to address one of the most basic problems in high-performance computing: the inability of traditional relational database technology to keep up with the explosive escalation of data volumes. Ever since, our singular goal has been to provide clients and partners with the most efficient and flexible tools for ultra-high-speed processing of real-time, streaming and historical data.

Kx has set the time-series database technology standard in the Capital Markets sector since inception. For over 20 years, we have provided solutions for the world’s tier-one investment banks, and forged a reputation for stellar performance and excellence in delivery; scalability (getting bigger without getting slower); low total cost of ownership, and all delivered on a single platform (on disk, in memory and streaming). From Chip to Edge to Cloud.

By 2025, it is estimated that the world will create and replicate 163 trillion GB of data. This is a 10x increase in data created today, and real time data will represent over 25% of the global datasphere by that time. As many other sectors have realized the value of their data, we now work with some of the largest manufacturing, automotive, retail, pharma, and energy institutions.

Kx delivers the best possible performance and flexibility for high-volume, data-intensive analytics and applications across multiple industries.

SOLUTIONS FOR
Kx Technology

Kx TECHNOLOGY

The basis for Kx Technology is a unique integrated platform which includes a high-performance historical time-series columnar database called kdb+, an in-memory compute engine, and a real-time streaming processor all unified with an expressive query and programming language called q.

Designed from the start for extreme scale, and running on industry standard servers, the kdb+ database has been proven to solve complex problems faster than any of its competitors.

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Kx's core technology, the kdb+ time-series database, is renowned for its computational speed and performance, as well as the simplicity of its architecture for large-scale data analytics.

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