Comparing and Contrasting Kx and the Hadoop Ecosystem

1 Nov 2016 | , , , , ,
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“Through 2018, 70% of Hadoop deployments will fail to meet cost savings and revenue generation objectives due to skills and integration challenges.”

Gartner, 100 Data and Analytics Predictions Through 2020



By Glenn Wright

The exponential increase in available digitized data, or Big Data, is transforming business and research. The appreciation of the potential of Big Data to change how companies operate has tracked the rise of the Apache Hadoop ecosystem, which includes open-source computing frameworks for working with large datasets.

Over the past two decades companies in the financial services industry working with extremely large datasets have turned to the Kx platform, a high-performance time-series database called kdb+ with a built-in programming language called q for high performance analytics. Kx predates the Apache Hadoop ecosystem by decades, and Kx is proven to be more performant, especially as data volumes increase.

In my latest whitepaper I discuss of some of the differences between the two approaches for tackling large-scale, complex business analytics. I highlight the advantages of both systems and inspect some of the key architectural differences between the two. While both approaches have merits, it is only when you are required to deploy the tools for complex analytics that the true merits of the Kx approach can be fully realized.

© 2018 Kx Systems
Kx® and kdb+ are registered trademarks of Kx Systems, Inc., a subsidiary of First Derivatives plc.


Head of Products, Solutions and Innovation at Kx on Product Design and the Vision for the Future

16 Mar 2018 | , , ,

As the SVP of Products, Solutions and Innovation at Kx Systems, James Corcoran is part of a new chapter in software development at Kx. Since joining Kx parent First Derivatives as a financial engineer in 2009, James has worked around the world building enterprise systems at top global investment banks before moving to the Kx product team in London. James sat down with us recently to discuss his perspective on product design and our technology strategy for the future.

Kdb+ Utilities: Essential utility for identifying performance problems

28 Feb 2018 | ,

If you are a kdb+/q developer, you will find the utilities created by Kx Managing Director and Senior Solution Architect Leslie Goldsmith to be a valuable resource. The “Kdb+ Utilities” series of blog posts gives a quick introduction to the utilities, available at Leslie Goldsmith’s GitHub. In this third part of the series we look at Leslie’s qprof, which allows a programmer to drill down into q functions or applications to inspect performance and CPU usage in a fine-grained fashion.

Retail range optimization with kdb+

Kx Retail Insights: The next generation of data-driven range optimization

20 Feb 2018 | , ,

Range optimization is one of the most important decisions for retailers in the digital age. The changing physical environment is a key driver in the need for intelligent range planning. Shrinking physical footprints require range reduction and optimization in store, whilst supplier integration online requires merchandising capability to personalize the ever growing assortment to the individual.