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

Recorded Webinar: High-Performance Networks & Low-Latency Connectivity for Trading

With financial markets becoming more complex and interconnected in today’s electronic trading environment, trading firms, exchanges, and infrastructure providers need to continually push the boundaries of network performance to stay ahead. Ultra-low latency, seamless connectivity, and resilient infrastructure are no longer just advantages – to stay competitive, they’re necessities. This webinar, part of the A-Team...

BLOG

LSEG Launches REDI on Workspace in Strategic Move to Unify Buy-Side Execution

LSEG Data & Analytics has launched REDI on Workspace, a significant step in its strategy to create a unified, end-to-end ecosystem for the buy-side. The new offering embeds the execution management capabilities of its REDI platform directly into LSEG Workspace, its flagship data and analytics platform. The move is the culmination of a multi-year strategy...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

The Global LEI System – A Solution for Entity Data?

The Global LEI System – or GLEIS – has been in development since the middle of last year. Development has been patchy at times, but much has been done, leaving fewer outstanding issues, but also raising new questions. What’s emerging is a structure for the GLEIS going forward, complete with a mechanism for registering and...