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: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

The ‘Always-On’ Gauntlet: How Converging Markets and 24/7 Trading are Forging the Next-Gen of Infrastructure

The concept of the ‘trading day’ is rapidly evolving. For generations, the rhythm of capital markets has been associated with the opening and closing bell, a predictable cycle that provided a crucial window for settlement, risk management, and system maintenance. But is that window now closing? A series of forward-looking discussions at A-Team Group’s recent...

EVENT

AI in Capital Markets Summit London

Now in its 2nd 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

Data Lineage Handbook

Data lineage has become a critical concern for data managers in capital markets as it is key to both regulatory compliance and business opportunity. The regulatory requirement for data lineage kicked in with BCBS 239 in 2016 and has since been extended to many other regulations that oblige firms to provide transparency and a data...