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: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Date: 28 July 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined...

BLOG

New Breakout Roundtable Session Stimulates Deep Topic Discussion at DMS London

A new feature of this year’s A-Team Group Data Management Summit London was the Champagne Roundtable sessions, in which delegates were able to gather in small, informal groups for guided discussion on a range of data and technology issues facing financial institutions. The fully attended session was well-received by participants, each of whom were invited...

EVENT

Digital Assets & Tokenisation Forum, New York

A-Team Group’s Digital Assets & Tokenisation Summit spotlights how global financial leaders are rapidly embracing programmable tokenised assets and DLT networks to achieve real-time, 24/7 peer-to-peer transactions.

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...