Kx Streaming Analytics (The platform for stream analytics)

Main article: Business Intelligence determination

The Kx platform is a tool for design, creation and deployment of data collection systems, their processing, enrichment, analytics and interactive visualization. The Kx platform for stream analytics works at a basis of kdb+, the database of time series (time-series database) which is optimized for collecting, the analysis and storage both the archive, and arriving data arrays.

2021: Integration with Raidix ERA

Thanks to Raidix ERA technology the Kx company achieved significant increase in speed of work of the platform for stream analytics. Together with RAIDIX ERA the Kx platform writes data 88% faster, and the gain in the speed of consecutive data reading makes 39% in comparison with alternative solutions. The Raidix company reported about it on January 15, 2021.

RAIDIX ERA is used in a storage device subsystem which provides low delays at intensive workloads on the Kx platform.

The general decrease in response time in comparison with alternative solutions is also provided that allows clients of the platform to work more effectively with data bulks without changes in infrastructure.

Performance and stable work of software of RAIDIX at the level of hardware components is proved by numerous examples of implementations in Russia and abroad for a long time. The case with Kx company demonstrates that our software solution is not less effective also at the level of the applied systems. We are glad that we manage to solve difficult technology tasks which bring notable result to users: in this case RAIDIX considerably accelerated work with difficult databases — Sergey Fedorov, the head of department of work with foreign partners of Raidix comments.

Solutions based on Kx are used for analytics of the stock markets, algorithmic trading, scientific research, search of errors and the forecast analysis in production and also for machine learning (ML) and Internet of Things (IoT).

RAIDIX ERA provides bigger increase in productivity at consecutive loadings, than other storage systems that gives the chance to users of the platform to work with large volumes of data at the existing infrastructure: to collect and process large volumes of data from attached devices on production processes quicker, to fix, store and process millions of events and parameters per second for the solution of research tasks and also to provide