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

NYSE Technologies Looks to Open Source Data APIs; Wants Competitors To Partner

Subscribe to our newsletter

NYSE Technologies is planning to open source its messaging APIs, and hopes to attract other market participants – and competing data providers – to adopt them. The plan was outlined by Tony McManus, head of Enterprise Software at the exchange’s technology unit, speaking at a recent FutureDATA event in London.

The APIs in question are NYSE Technologies’ Middleware Agnostic Messaging API (MAMA) and the Middleware Agnostic Market Data API (MAMDA). Along with those, a data model is being created to allow applications to make sense of the data payloads. McManus noted the goal is to make the APIs and data model an industry standard.

McManus noted that NYSE Technologies is in dialog with its “hardest competitors” to pursuade them to partner on the initiative. Noting that the open source move is one away from being “proprietary and protectionist” and also “a risky strategy,” McManus said the company’s belief is that its innovation in technology will give it a leading position in what will be an larger marketplace for data services.

That marketplace is one for enterprise data as a whole, as opposed to a narrower one for ultra low-latency trading applications. As such, latency is just one factor being considered by customers. Others include ease of integration, data coverage, avoiding vendor lock-in, and cost.

In that respect, NYSE Technologies expects its Data Fabric messaging middleware – especially its recently-release 6.0 release – will prove formidable because of its performance, scalabilty and support of different data transports.

Open sourcing of data APIs is not new, though they are somewhat in vogue at present. Bloomberg is one market data vendor making noises about providing open source APIs. Also, the Open Market Data Initiative – which has been supported by Bank of America Merrill Lynch – has defined an API (MDAL – for Market Data Abstraction Layer) and has developed a number of direct market data feeds that support it.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

Date: 20 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining...

BLOG

LSEG Collaborates with AWS to Support Real-Time Data Infrastructure

London Stock Exchange Group has announced a collaboration with Amazon Web Services aimed at modernising the infrastructure underpinning its real-time market data services, as part of a broader cloud transformation strategy. Under the collaboration, LSEG will leverage AWS services to support the collection, routing, and distribution of its Full Tick and Real-Time Optimized data, while...

EVENT

RegTech Summit New York

Now in its 9th 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

The Reference Data Utility Handbook

The potential of a reference data utility model has been discussed for many years, and while early implementations failed to gain traction, the model has now come of age as financial institutions look for new data management models that can solve the challenges of operational cost reduction, improved data quality and regulatory compliance. The multi-tenanted...