Kx Systems to support IoT with streaming analytics

Kx Systems, a subsidiary of First Derivatives and a time-series analytics provider for streaming, real-time and historical data, has brought its expertise in financial markets to the world of the Internet of Things (IoT). Kx can enables effective IoT streaming analytics, which is becoming essential if organisations are to react in real-time to the information they are collecting and processing.

The company says its technology is orders of magnitude faster than traditional technologies, retrieving data in microseconds rather than seconds, aggregating data in milliseconds, not hours, and performing complex queries in seconds. Comparable analyses with traditional alternatives can take hours or even weeks to perform, the company said.
 
In the latest Kx report Opportunities and Challenges of Streaming Analytics and In-memory Computing featuring Gartner Research, Kx technology is shown to directly address the requirements of streaming analytics. Gartner forecasts that there will be over 6 billion connected devices in use worldwide in 2016. This figure is estimated to reach 21 billion by 2020 and will continue to increase dramatically. In 2016 alone 5.5 million new ‘things’ will get connected every day. These devices capture vast quantities of data, that Kx technology can help turn into valuable insight and action.

Przemek Tomczak, SVP IoT and Utilities at Kx Systems, says: “As IoT evolves and becomes the ‘Internet of Everything’, exciting new opportunities are emerging. This requires data to be processed and analysed in real-time, blending streaming and historical data from a diverse set of sources. Firms will then be able to reap significant benefits, including improved business operations, better relationships with and service for customers, the ability to develop new products and services and a reduction in costs, to name but a few.

“Kx has over 20 years’ experience in financial markets, capturing, crunching and analysing massive quantities of data, at record speeds. We are now making our technology available to the IoT market, where there is an urgent need for such tools. Our high-performance database and time-series analytics facilitate exceptionally fast processing of sensor data, delivering knowledge, i.e. actionable information, in real-time.”

Tomczak will talk about an IoT use case involving millions of sensors and over 300 billion sensor measurements on 2 June at CommunicAsia2016.

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