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

A-Team Insight Blogs

GoldenSource Revitalises EDM Platform with Open Source Database, Standardisation and Cloud Agnosticism

Subscribe to our newsletter

GoldenSource has revitalised its enterprise data management (EDM) platform with a new cloud native and agnostic version focusing on open source options and standardisation. The aim of version 8.8 is to help users extract more value from data faster and at a lower total cost.

The new release supports the PostgreSQL open source database as an alternative to Oracle, which has underpinned the GoldenSource EDM for many years, offering a significantly lower cost of ownership. “Proprietary database infrastructure components ae on the way out,” says Neill Vanlint, global head of sales and client operations at GoldenSource. “Opensource is the way to go. Customers want to move to PostgreSQL and buy support to build open source functionality with tools such as Python, rather than use vendor solutions tied to vendor databases.”

Version 8.8 is also cloud native and agnostic, allowing users to interact with a preferred cloud provider. By supporting and connecting different data domains on a single EDM platform, GoldenSource says this containerisation eases the move to cloud. Connectors to data vendors allow the cloud solution to react to changes made by the vendors, such as the addition of new sanctions data.

The company’s commitment to standardisation runs through both version 8.8 of the EDM platform and external tools. “Everyone wants standardisation,” says Vanlint. “We have preconfigured as much as possible in the platform to align with standards that the industry is standardising around, such as ISO standards. We also offer standardised tools such as Python and Jupyter Notebook. The platform is still configurable, but is built with a core backbone of standardised workflows.”

Explaining technology upgrades to the user interface, Charlie Browne, head of risk, quant and market data solutions at GoldenSource, says version 8.8 includes a technology upgrade to the user interface, improving usability and providing better integration with tools such as Excel and Python libraries. It also develops GS Objects, introduced in version 8.7 and improving UI performance by adding an object layer with a schema to the platform’s data model to support data queries and analytics.

The framework for integrating artificial intelligence (AI) and machine learning to enable greater automation is being used in 8.8 to scrub fixed rate and coupon rate data, with more options planned to facilitate greater automation in data scrubbing and exception management. Last but not least, version 8.8 adds a chatbot that can be used to type in natural language commands to interactively navigate and invoke functions, metadata or documentation on core applications.

Version 8.8 of the EDM platform follows the release of GoldenSource’s ESG solution, ESG Impact, earlier this year.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Generative and Agentic AI in Financial Markets: What the Data Really Shows

Date: 15 October 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Artificial intelligence is reshaping financial markets – but the reality on the ground is more nuanced, more uneven, and more instructive than the headlines suggest. A new A-Team Insight research programme, drawing on responses from senior AI decision-makers at...

BLOG

Oxane Partners QnA: Growing to Meet the Data Needs of Private Credit Practitioners

London-headquartered Oxane Partners was created by two former Deutsche Bank credit traders a little more than a decade ago to serve the data needs of the then-nascent private credit space. It has grown as the market has broadened. Data Management Insight spoke to managing director Kanav Kalia about the company’s beginnings, its present and its...

EVENT

RegTech Summit New York

Now in its 10th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

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...