You are here:  Home  >  Education Resources For Use & Management of Data  >  Data Daily | Data News  >  Current Article

Kx Provides Rapid Access to Unstructured Data

By   /  May 18, 2018  /  No Comments

A recent press release reports, “FD [First Derivatives] announces that its Kx technology, a world leader in time -series analytics for streaming, real-time and historical data, now supports rapid access to unstructured data with the release today of kdb+ 3.6, the latest version of its database and analytics technology. The rapid analysis of unstructured data is essential in many industries. With kdb+ 3.6, Kx has enhanced the developer’s ability to manipulate vast amounts of unstructured data. In particular, the new ‘anymap’ capability allows developers to query unstructured data held in kdb+ much more rapidly. This makes it easier to combine structured and unstructured data within a kdb+ database and analyze them both with the record-breaking speed that kdb+ is known for. Kdb+ 3.6 also has a number of new features that make it even faster including: (i) JSON support as a primitive feature in the language, which results in a speedup of at least 10x; (ii) adding a new compression algorithm to the existing list and (iii) improvements to speed of GUID lookups. To improve the efficiency and flexibility of distributed queries, kdb+ 3.6 has also added deferred response to synchronized messages.”

The release continues, “The latest version enhances Kx’s recently-launched on-demand offering, a subscription-based version of kdb+ with a flexible pricing model that expands the availability and appeal of kdb+ for a much wider universe of use-cases. Kdb+ on-demand makes massively-parallel application architectures more accessible to developers, putting more compute power at their fingertips. Kdb+ 3.6 builds on that by expanding the tool kit available for those programmers who are building ever larger systems.”

Read more at First Derivatives.

Photo credit: Kx

You might also like...

Data Science in 90 Seconds: Support Vector Machines

Read More →