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: Unlocking Transparency in Private Markets: Data-Driven Strategies in Asset Management

As asset managers continue to increase their allocations in private assets, the demand for greater transparency, risk oversight, and operational efficiency is growing rapidly. Managing private markets data presents its own set of unique challenges due to a lack of transparency, disparate sources and lack of standardization. Without reliable access, your firm may face inefficiencies,...

BLOG

Agentic AI Deployment Presents Potentially Dangerous Data ‘Trust Paradox’

Artificial intelligence deployment in capital markets’ data processes may be approaching an inflection point that, if not managed properly, could introduce dangerous risks to institutions’ operations. The growing deployment of anonymous agents has the potential to hardwire data errors into workflows, magnifying data weaknesses as the automating technology scales processes, according Informatica from Salesforce. The...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Applications of Reference Data to the Middle Office

Increasing volumes and the complexity of reference data in the post-crisis environment have left the middle office struggling to meet the requirements of the current market order. Middle office functions must therefore be robust enough to be able to deal with the spectre of globalisation, an increase in the use of esoteric security types and...