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: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

Past, Present, and Future of AI and Machine Learning in Trading and Investment Management

On this episode of FinTech Focus TV recorded at A-Team Group’s Buy AND Build Summit, Toby Babb of Harrington Starr sits down with David Marcos, Founder and Managing Partner at Quantoro Technologies, to explore how AI agents are redefining trading, portfolio management, and the investor experience. From simplifying complex investment strategies to the rise of...

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

Complex Event Processing

Over the past couple of years, Complex Event Processing has emerged as a hot technology for the financial markets, and its flexibility has been leveraged in applications as diverse as market data cleansing, to algorithmic trading, to compliance monitoring, to risk management. CEP is a solution to many problems, which is one reason why the...