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 Rolls Enterprise Ticker Plant

Subscribe to our newsletter

Based on several component products, NYSE Technologies has introduced its Enterprise Ticker Plant, designed to deliver market data to a wide variety of applications across a trading firm, from low-latency algorithmic trading systems to desktops running Microsoft Excel spreadsheets.

Says Brian Doherty, global product manager for Data Fabric, the offering is essentially a productisation of what has become a “standard deployment model” for the components, including its Data Fabric, data feed handlers, messaging APIs, legacy platform bridge, data entitlements (DART) and systems management (from partner ITRS)

Key to its enterprise scalability is the 6.0 release of Data Fabric, which supports MultiVerb – allowing high fanout Remote Direct Memory Access (RDMA) communications.  Applications that require low-latency access to data connect directly using RDMA, while others that are less latency sensitive would typically interface via a bridging daemon, and be fed via TCP or a third-party messaging bus.

Across all receivers, NYSE Technologies’ Middleware Agnostic Messaging API (MAMA) and the Middleware Agnostic Market Data API (MAMDA) provides a common and stable messaging interface, across different operating systems and programming languages.

Also notable is the implementation of kernel bypass within its data feed handler components – transferring data such as UDP packets from the network direct to application memory – using InfiniBand verbs and leveraging Mellanox Technologies’ network interface cards.  This approach cuts latency compared to providing a traditional sockets interface.  Mellanox’s ConnectX NICs can connect to both 10gE and InfiniBand networks.

Doherty notes that while some firms demanding the lowest latency will opt for co-located data feed handlers, there is also increasing demand by trading firms for an infrastructure that can deliver data with both low latency where required and more widely with reduced cost.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The future of market data – Harnessing cloud and AI for market data distribution and consumption

Market data is the lifeblood of trading, but as data volumes grow and real-time demands increase, traditional approaches to distribution and consumption are being pushed to their limits. Cloud technology and AI-driven solutions are rapidly transforming how financial institutions manage, process, and extract value from market data, offering greater scalability, efficiency, and intelligence. This webinar,...

BLOG

How Fast is Fast Enough? Calibrating your Low Latency Use Cases for Maximum Impact

The landscape of electronic trading is in constant flux, driven by a relentless pursuit of speed and efficiency. As execution times shrink from milliseconds to microseconds – and even nanoseconds – the underlying infrastructure has become paramount. A recent webinar hosted by A-Team Group and sponsored by LSEG Data & Analytics gathered industry experts to...

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

Entity Data Management

Entity data management has historically been a rather overlooked area of the reference data landscape, but with the increase focus on managing risk, the industry is finally taking notice. It is now generally agreed to be critical to every financial institution; although the rewards for investment in entity data management appear to be rather small,...