Kx sets benchmark records with kdb+

Raw Unapologetic Firepower with Kx

10 Aug 2016 | , , , ,
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Joe Landman of Scalable Informatics, a hardware vendor that sells Big Data analytics appliances, was inspired by our blog post last week to blog about Kx based on his first-hand experience. Worth reading.

Raw Unapologetic Firepower: kdb+

While the day job builds (hyper-converged) appliances for big data analytics and storage, our partners build the tools that enable users to work easily with astounding quantities of data, and do so very rapidly, and without a great deal of code.

I’ve always been amazed at the raw power in this tool. Think of a concise functional/vector language, coupled tightly to an SQL database. It’s not quite an exact description, have a look at Kx’s website for a more accurate one.

A few years ago, I took my little Riemann Zeta Function test for a spin with a few languages, including kdb+ just to play with it. I am doing some more work with it now (32-bit version for testing/development).

This said, you need to see what this tool can do. Have a look at Fintan Quill’s (@FintanQuill) video of a talk/demo he gave at a meetup in Seattle in 2015. Demos start around 20m mark.

The people in the audience appear to be blown away by the power they see. While we like to think our machine (running the demo DB) has something to do with it. Kdb+ is absolutely fantastic for dealing with huge quantities of time series data. You need to be able to store/move/process this quickly (which is where the machine comes in), but being able to so succinctly use the data, as compared to what spark/hive/etc. do in so many more steps/lines of code, requiring so many more machines …

Tremendous power and power density saves money and time. Packing a huge amount of power into a small package lets you use fewer packages to accomplish the same things as the system requiring many more packages. The cloud model is “spin up more instances to get performance by sharding and parallelism”, while kdb+ and the day job suggest “start out using very performant and efficient tools to begin with, so you need fewer of them to do the same things, which costs you less time/effort/money/etc.”

It is, in case you are not sure, the basis for the day job’s Cadence appliance. Massive fire power. Itty bitty box.

Imagine what you could do with this sort of power …

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


Sensors Working Overtime

11 Jan 2018 | , , , ,

Kx recently became an official team supplier to Aston Martin Red Bull Racing who is using Kx technology to handle mission-critical aerodynamic data. Below is an article published by Aston Martin Red Bull Racing on 11 January 2018 which explains the importance of this aero data, and working with Kx technology, for improving car performance for the F1 Team. It outlines how Kx’s in-memory, time series database software, capable of handling millions of events and measurements every second, provides a platform for analysing data on the RB14 and its successors.

kdb+ for industrial internet of things 4.0

Kx Insights: IIoT for Predictive Maintenance and Big Data

9 Jan 2018 | , , , , , ,

IIoT for predictive maintenance enables more extensive monitoring of equipment and processes at a much lower cost than traditional methods and delivers actionable warnings to prevent or minimize the consequences of an impending failure. Where IIoT for predictive maintenance is deployed in a well-designed program using Reliability Centered Maintenance (RCM) it will reduce surprise outages, lost production, extensive repairs, secondary damage and increase safety.

MiFID II and kdb+/Kx

MiFID II, The Day After

4 Jan 2018 | , , , , ,

Don’t pop the champagne yet for the launch of Europe’s Markets in Financial Instruments Directive (MiFID II). While January 3rd was the go-live date, and the industry is thought to be 80% compliant, there are major outstanding issues to contend with in 2018. Yesterday was simply a milestone marking the turn to the home stretch.
Although MiFID II has been in the works for many years, its Level II and Level III guidance was still being finished in the second half of 2017, which has meant an uncomfortable level of ambiguity for those who must implement MiFID II.