About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Kx Adds Software-As-A-Service Version of kdb+ Time Series Database

Subscribe to our newsletter

Kx Systems has released a software-as-a-service (SaaS) version of its kdb+ time series database with a flexible pricing model designed to make it widely accessible to programmers. A personal edition of 64-bit kdb+ on-demand for non-commercial use is also available at no cost.

The 64-bit version of kdb+ can be run on any computer anywhere, from a laptop to the cloud, with the on-demand service being charged on a per core minute basis instead of being charged using the company’s standard per core or enterprise pricing models. Combined with Kx’s Fusion initiative, which enables kdb+ to work seamlessly with many popular programming languages and technologies, kdb+ on demand widens the user community for kdb+.

Mark Sykes, chief operating officer at Kx, says: “Kdb+ on demand allows users to run any scale system on a highly cost effective and elastic per core minute basis, the user is in total control of their internal costs. This initiative, coupled with new integrations with Python, Jupyter and various machine learning libraries, removes barriers for developers who use either q, or other languages, and want to start getting the benefits of kdb+ that are enjoyed by our existing clients.”

The Kdb+ time series database can be used for streaming, in-memory and historical data, and includes a built-in programming language called q. It is known for its record-breaking speed when performing complex analytics on extremely large datasets.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Building and Scaling Data Products and Marketplaces to Deliver ROI

Date: 10 December 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Financial institutions hold some of the richest data in any industry, but much of it is hard to find, hard to trust and slow to reach the teams that need it. As they scale their AI and analytics programmes,...

BLOG

What You Missed at This Year’s RegTech Summit London

Evidence and accountability ran through this year’s RegTech Summit London. As artificial intelligence takes on more compliance work, firms need to explain decisions, trace reported data to its source and assign responsibility for errors. Across this year’s sessions, speakers returned to fragmented systems, continuous controls and the expertise needed to challenge automated results. The opening...

EVENT

AI in Data Management Summit New York City

Now in its second year, the AI in Data Management Summit NYC explores what changes when AI becomes part of the data management operating model.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...