SUPPORT

Kx is proud to provide industry acclaimed support for our customers, starting with free, onsite evaluations for qualified prospects with application requirements well-suited for Kx technology.

We pride ourselves on being highly responsive to customer needs, typically responding to technical inquiries within minutes, and offering solutions within the day; these are responses from knowledgeable staff who are familiar with the code at a very deep level, not scripted responses from an outsourced support center.

Beyond this, we offer a full ecosystem of resources - of both the material and the human variety - that enhances the experiences of our customers.

SUPPORT
Current licensed customers can contact us using the following addresses:

TECHNICAL SUPPORT

DOWNLOAD SOFTWARE

LICENSE REQUEST

URGENT LICENSE REQUEST

SUPPORT RESOURCES

Kx Wiki
Please refer to the Kx language reference for documentation and guides for programming in kdb+. You will find kdb+ tutorials here, an online copy of Q for Mortals 3 as well as a wealth of other important information for building kdb+ applications, including a range of Developer Briefs.

kdb+ Google Group
An open Google discussion group for users of the Personal Developer edition of kdb+.

kdb+ Listbox
If you work at a company that has licensed kdb+, submit your company email address to join the kdb+ Listbox here.

Kx on GitHub
Developers from around the world share some of their best kdb+ code, libraries, and frameworks on GitHub, and Kx features them on its corporate GitHub page. Please send along your great kdb+ ideas to .

Kx offers a 32-bit version of kdb+ for free so you can try it for yourself and see how powerful and fast it is. This download has all the compatibility and functionality of the full 64-bit version, and is for non-commercial use only. A Raspberry Pi version is also available. Click below to download Kdb+ today.

Download

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SECTORS:

OFFERINGS:

TYPE:

Kx high-performance time-series Big Data analytics

ASIC Client Case Study

Kx high-performance time-series Big Data analytics

The 21st Century Time Series Database

Kx high-performance time-series Big Data analytics

Bloor White Paper – Kx & The Internet of Things

Kx high-performance time-series Big Data analytics

Intel Case Study – High Performance for Big Data

Kx high-performance time-series Big Data analytics

Data Informed eBook – The Database Decision

Kx high-performance time-series Big Data analytics

Real-Time Actionable Insights with Intel & Kx Systems

Kx high-performance time-series Big Data analytics

Kx for Algos Flyer

Kx high-performance time-series Big Data analytics

Kx for Flow Flyer

Kx high-performance time-series Big Data analytics

Kx for AlgoLab Product Overview

Kx high-performance time-series Big Data analytics

Kx for Flow Product Overview

Kx high-performance time-series Big Data analytics

FX Analytics Overview

Kx high-performance time-series Big Data analytics

NSE Selects Kx for AlgoLab

Kx high-performance time-series Big Data analytics

View Kx for Flow

Kx high-performance time-series Big Data analytics

Kx for Flow – HTML5 UI

Kx high-performance time-series Big Data analytics

Kx for Algos Client Case Study

Kx high-performance time-series Big Data analytics

Kx for Algos Overview

Kx high-performance time-series Big Data analytics

Kx for Flow including FX Trade Surveillance Capabilities

Kx high-performance time-series Big Data analytics

Kx for Algos Index Arbitrage

Kx high-performance time-series Big Data analytics

EBS Select KX to deliver Data Analytics as a Service

Kx high-performance time-series Big Data analytics

Kx for Surveillance Flyer

Kx high-performance time-series Big Data analytics

Kx for Surveillance Product Overview

Kx high-performance time-series Big Data analytics

Kx for Monitoring Flyer

Kx high-performance time-series Big Data analytics

Kx for Monitoring Product Overview

Kx high-performance time-series Big Data analytics

Kx for Monitoring Case Study

Kx high-performance time-series Big Data analytics

Kx for Monitoring in Action

Kx high-performance time-series Big Data analytics

Analyst for Kx Product Overview

Kx high-performance time-series Big Data analytics

Control for Kx Product Overview

Kx high-performance time-series Big Data analytics

Enterprise Control and Resilience

Kx high-performance time-series Big Data analytics

Control for Kx – Sample Use Cases

Kx high-performance time-series Big Data analytics

Dashboards for Kx Flyer

Kx high-performance time-series Big Data analytics

Dashboards for Kx Product Overview

Kx high-performance time-series Big Data analytics

Building Dashboards for Kx

Kx high-performance time-series Big Data analytics

Sample Dashboards for Kx

Kx high-performance time-series Big Data analytics

Dashboards for Kx -See our latest features

Kx high-performance time-series Big Data analytics

Dashboards: Order Book Replay

Kx high-performance time-series Big Data analytics

Introduction to Dashboards for Kx

Kx high-performance time-series Big Data analytics

Stream for Kx Flyer

Kx high-performance time-series Big Data analytics

Stream for Kx Product Overview

Kx high-performance time-series Big Data analytics

EBS Selects Stream for Kx for Data Analytics

Kx high-performance time-series Big Data analytics

Bandwidth Selects Stream for Kx for Real-Time Network Analysis

Kx high-performance time-series Big Data analytics

SGX Selects Stream for Kx

Kx high-performance time-series Big Data analytics

ASIC Select Stream for Kx

Kx high-performance time-series Big Data analytics

ANZ Select Stream for Kx

Kx high-performance time-series Big Data analytics

NYSE Select Stream for Kx for Tick as a Service

Kx high-performance time-series Big Data analytics

Stream for Kx Feedhandlers

Kx high-performance time-series Big Data analytics

Kx for Pharma Flyer

Kx high-performance time-series Big Data analytics

Kx for Pharma

Kx high-performance time-series Big Data analytics

Markets Media – Kx moves beyond finance

Kx high-performance time-series Big Data analytics

Kx Strategic Partnership with Thomson Reuters

Gerry Buggy Blog on Streaming Analytics

Kx high-performance time-series Big Data analytics

IESO Case Study

Kx high-performance time-series Big Data analytics

Kx for Surveillance Alerts

Kx high-performance time-series Big Data analytics

Kx for MiFID and MAR

Kx high-performance time-series Big Data analytics

IEX Selects KX for Surveillance

Kx high-performance time-series Big Data analytics

SEC Selects Kx Technology

Kx high-performance time-series Big Data analytics

Yieldbroker Selects Kx for Surveillance

Kx high-performance time-series Big Data analytics

Kx wins Market Surveillance System of the Year

Kx high-performance time-series Big Data analytics

Surveillance Product Overview

Kx high-performance time-series Big Data analytics

Order Book Replay

Kx high-performance time-series Big Data analytics

Kx for Telco Flyer

Kx high-performance time-series Big Data analytics

Kx for Telco Whitepaper

Kx high-performance time-series Big Data analytics

Kx on The Value of Time: Solving the Cost of Compliance

Kx high-performance time-series Big Data analytics

Kx for Sensors Flyer

Kx high-performance time-series Big Data analytics

Analyst for Kx Flyer

Kx high-performance time-series Big Data analytics

Control for Kx Flyer

Kx high-performance time-series Big Data analytics

Kx signs MOU with Utilismart

Kx high-performance time-series Big Data analytics

Kx Systems Selected for Ontario Smart Metering System

Kx high-performance time-series Big Data analytics

Control for Kx Functional Overview

Kx high-performance time-series Big Data analytics

Analyst For Kx Visual Inspector Overview

Kx high-performance time-series Big Data analytics

Analyst For Kx IDE Overview

Kx high-performance time-series Big Data analytics

Analyst For Kx Big Data Spreadsheet Overview

Kx high-performance time-series Big Data analytics

Analyst For Kx Data Transformer Overview

Kx high-performance time-series Big Data analytics

Analyst For Kx Behavioural Driven Testing

Kx high-performance time-series Big Data analytics

Analyst For Kx Data Import Wizard

Kx high-performance time-series Big Data analytics

Analyst For Kx Data Filtering

Kx high-performance time-series Big Data analytics

Analyst For Kx Interactive Debugger

Kx high-performance time-series Big Data analytics

Kx for Dashboards – Value Proposition

Kx high-performance time-series Big Data analytics

Analyst for Kx – Value Proposition

Kx high-performance time-series Big Data analytics

Kx for Pharma R&D

Kx high-performance time-series Big Data analytics

Kx for Pharma Production

Kx high-performance time-series Big Data analytics

Kx and Hadoop Ecosystems Whitepaper

Kx high-performance time-series Big Data analytics

Kx shatters STAC benchmarks for tick data analytics on Dell EMC DSSD D5

Kx high-performance time-series Big Data analytics

Market Replay of a Malfunctioning Algorithm

Kx high-performance time-series Big Data analytics

Outside the Utility Box

Kx high-performance time-series Big Data analytics

Bloor Market Report on Streaming Analytics

EVENTS

Kx Community NYC Meetup

Kx Community NYC Meetup

19 Jan 2017 | Big Data, Kdb+, kx

The Kx Community NYC Meetup is a great place for big data and data analytics enthusiasts to learn more about Kx technology and our time series database, kdb+.

LEARN MORE

Thursday

01/19

Kx Community NYC Meetup

Please join the Kx Community NYC Meetup to get the latest updates. If you'd like to present please drop us a note at kxcommunity@kx.com

January 2017
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NEWS

kdb+/q code for Atom text editor

Using the Atom editor with kdb+

18 Jan 2017

This week’s featured Github repository is by kdb+/q developer Andrey Kozyrev who has written add-ons to provide autocomplete and kdb+ connections for the Atom text editor. Contributing kdb+/q code to Github is a great way to be part of the Kx community. Please drop us a note at librarian@kx.com to highlight your latest work.

Utility industry trends, kdb+

Eight Utility Industry Trends in 2017

11 Jan 2017 | IoT, Kdb+, kx, utilities

2017 is shaping up to be a year of change for the electric utility industry as the adoption of smart grid and customer data management technologies accelerates. Based on dozens of conversations with utility market players, Przemek Tomczak explains what the industry’s current primary focus is and the role technologies like those powered by kdb+ can play.

Q for Mortals guide to kdb+/q programming

Q for Mortals Version 3 Now Free Online

3 Jan 2017 | APL, Kdb+, kx

Kx is pleased to announce that Jeffry Borror’s book Q for Mortals Version 3, An Introduction to Q Programming, is now available for free online at code.kx.com here.
Q for Mortals serves as both an introduction and reference guide to programming in q/kdb+, and replaces an earlier version. In the latest edition, Jeffry includes expanded real-life applications based on his experience teaching and using q at a large financial institution where kdb+/q has been widely deployed for many years.

BLOG

kdb+/q code for Atom text editor

Using the Atom editor with kdb+

18 Jan 2017

This week’s featured Github repository is by kdb+/q developer Andrey Kozyrev who has written add-ons to provide autocomplete and kdb+ connections for the Atom text editor. Contributing kdb+/q code to Github is a great way to be part of the Kx community. Please drop us a note at librarian@kx.com to highlight your latest work.

Utility industry trends, kdb+

Eight Utility Industry Trends in 2017

11 Jan 2017 | IoT, Kdb+, kx, utilities

2017 is shaping up to be a year of change for the electric utility industry as the adoption of smart grid and customer data management technologies accelerates. Based on dozens of conversations with utility market players, Przemek Tomczak explains what the industry’s current primary focus is and the role technologies like those powered by kdb+ can play.

Q for Mortals guide to kdb+/q programming

Q for Mortals Version 3 Now Free Online

3 Jan 2017 | APL, Kdb+, kx

Kx is pleased to announce that Jeffry Borror’s book Q for Mortals Version 3, An Introduction to Q Programming, is now available for free online at code.kx.com here.
Q for Mortals serves as both an introduction and reference guide to programming in q/kdb+, and replaces an earlier version. In the latest edition, Jeffry includes expanded real-life applications based on his experience teaching and using q at a large financial institution where kdb+/q has been widely deployed for many years.

Consulting

Kx is a global provider of products and consulting services to the capital markets industry. It supports institutions in designing, developing, implementing and supporting a broad range of mission critical data and trading systems across front, middle and back-office operations. Services are provided both on-site and from its strategically located Near Shore centres. Kx distinguishes itself in being pragmatic and results-driven in approach, whilst critically aware of the importance of quality and consistency in delivery.

Contact us here to learn more.