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

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

AiMi Unveils Agentic Workflow to Automate Mandatory Market Changes

AiMi, specialists in AI for trading and market data operations, has launched an end-to-end agentic workflow designed to streamline how firms manage mandatory changes from exchanges and market data vendors. The new capabilities build on AiMi’s existing AI-enabled platform, introducing a dynamic suite of digital agents that automate the tracking, review, and triage of market...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

ESG Handbook 2023

The ESG Handbook 2023 edition is the essential guide to everything you need to know about ESG and how to manage requirements if you work in financial data and technology. Download your free copy to understand: What ESG Covers: The scope and definition of ESG Regulations: The evolution of global regulations, especially in the UK...