About a-team Marketing Services
The knowledge platform for the financial technology industry
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 a Semantic Layer for Your Enterprise Data Estate

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics...

BLOG

Seven 2026 RegTech Outlooks for Compliance, Reporting and Financial Crime

As 2026 gets underway, RegTechs are positioning for a shift in regulatory emphasis from refits, rewrites and attestations to demonstrable evidence. Across the jurisdictions supervisors are shifting from consultation and rulemaking into validation and testing whether firms have operationalised reforms through governance, high-quality data, defensible controls and credible evidence. The seven RegTechs that follow have...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

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...