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

Recorded Webinar: Are you making the most of the business-critical structured data stored in your mainframes?

Fewer than 30% of companies think that they can fully tap into their mainframe data even though complete, accurate and real-time data is key to business decision-making, compliance, modernisation and innovation. For many in financial markets, integrating data across the enterprise and making it available and actionable to everyone who needs it is extremely difficult....

BLOG

Regulatory Volatility Offers Opportunity to Mine Value from Compliance Data

A new era of regulatory change is presenting institutions with a golden opportunity to prosper from the troves of data they need to comply with reporting obligations. Information required by market overseers has value that goes beyond its obligatory use in disclosures and companies that put it to wider use stand to gain a competitive...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...