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

FINOS and Goldman Sachs Release Legend Open Source Data Management Platform

Subscribe to our newsletter

In pursuit of data collaboration and standardisation across capital markets, the Fintech Open Source Foundation (FINOS) and Goldman Sachs have released Legend, the bank’s flagship data management and data governance platform. The source code for five of the platform’s modules is available from FINOS.

Goldman Sachs contributed its PURE logical modelling language and Alloy platform and visual modelling tool to FINOS late last year. The language and platform have since been combined in Legend, which has been the subject of a six-month pilot project including Deutsche Bank, Morgan Stanley and RBC Capital Markets, and using a shared version of Legend hosted on FINOS infrastructure in the public cloud.

The five modules of Legend that have been open sourced – Legend Studio, Legend Engine, Legend SDLC, Legend Shared, and the Legend-PURE language – are designed to allow firms to use the capabilities of Goldman Sachs’ internal data platform for their own data management and governance needs.

Atte Lahtiranta, chief technology officer at Goldman Sachs, says: “Legend provides both engineers and non-engineers a single platform that allows everyone at Goldman Sachs to develop data-centric applications and data-driven insights. The platform allows us to serve our clients better, automate some of the most difficult data governance challenges, as well as provide self-service tools to democratise data and analytics. We anticipate that broad adoption of Legend will bring real, tangible value for our clients as well as greater standardisation and efficiency across the financial services ecosystem.”

From a FINOS perspective, executive director Gabriele Columbro says: “Financial services firms have much to gain from open source adoption as the potential for its use to reduce financial burdens and needless complexity is nearly unlimited. Legend provides a concrete path towards greater collaboration and data standardisation that will benefit all market participants, large and small.”

On the user side, Russell Green, head of group architecture at Deutsche Bank and a FINOS board member, adds: “Data architecture and modeling teams need to consistently innovate in order to improve data governance and controls, increase efficiency, reduce operating costs and deliver a seamless user experience. From our participation in the FINOS pilot, we believe Legend Studio holds promise to enhance collaborative and federated data architecture and modelling within the bank and the industry.”

The next steps in the development of Legend, including Goldman Sachs’ intention to open source more modules of the platform in 2021, will be discussed at a virtual Open Source Strategy Forum next month.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Best practice approaches to integrating legacy data with the cloud

Acceleration of cloud adoption, increasing demand for digital transformation and real-time data management have led financial institutions to rethink their data infrastructure to enable more agile operating models that can respond faster to change and make data a competitive advantage. For many, integrating data from legacy systems and data across the business landscape with a...

BLOG

SIX Invests in BITA to Enhance Global Benchmark Platform and Expand Indexing Technology Services

SIX, the Swiss financial data and market infrastructure provider, has made a strategic investment in BITA, the indexing technology and services company. The move aims to bolster a range of ongoing joint projects and fast-track the global expansion of SIX’s benchmark platform. Existing BITA shareholders, including ETFS Capital, Volta Ventures, and Pamica NV, have also...

EVENT

AI in Capital Markets Summit London

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

Regulatory Data Handbook 2023 – Eleventh Edition

Welcome to the eleventh edition of A-Team Group’s Regulatory Data Handbook, a popular publication that covers new regulations in capital markets, tracks regulatory change, and provides advice on the data, data management and implementation requirements of more than 30 regulations across UK, European, US and Asia-Pacific capital markets. This edition of the handbook includes new...