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

Recorded Webinar: Executing the Migration to Cloud to Enable Scalability and Innovation

Cloud-based services and processing have become essential to financial institutions as their data management demands have become more complex and expansive. Thousands of organisations have made the jump from their limited on-premises tech stacks to the near-infinite scalability opportunities of public and private clouds. They have also been motivated by the need to modernise their...

BLOG

Rush to Build AI into Risk Models Creating Dangerous Capability ‘Gaps’

Asset managers may be exposing themselves to operational vulnerabilities as they rapidly integrate artificial intelligence and agents into their risk management systems, often without first ensuring trust in the data that will feed the models. A survey found that three-quarters of 178 senior investment leaders questioned said they expect the pace of AI and agents...

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

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...