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

Recorded Webinar: Executing the Migration to Cloud to Enable Scalability and Innovation

Cloud-based services and processing have become essential to financial institutions as their data management demands have become more complex and expansive. Thousands of organisations have made the jump from their limited on-premises tech stacks to the near-infinite scalability opportunities of public and private clouds. They have also been motivated by the need to modernise their...

BLOG

Semantic Frameworks Slow to Gain Traction Despite Criticality to Data Democratisation: Webinar Review

Semantic layers have become critical to financial institutions as they have expanded the use of artificial intelligence agents and widened staff access to them. The sophisticated interfaces give non-technical users the ability to guide agents to interact with their firms’ data and build efficient workflows. And yet, few organisations have really got their teeth into...

EVENT

RegTech Summit London

Now in its 10th year, RegTech Summit London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to innovate the compliance function and response.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...