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: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...

BLOG

Sphinx Targets 24/7 Energy Markets with Blockchain-Enabled Derivatives Exchange

A new entrant to the energy derivatives landscape is preparing to test whether modern trading infrastructure can reshape how energy risk is managed. Sphinx, a startup exchange operator, is developing a platform designed for continuous trading and near-instant settlement in energy derivatives, initially targeting U.S. natural gas and electricity markets. The Sphinx Global Commodity Exchange...

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

Enterprise Data Management

The current financial crisis has highlighted that financial institutions do not have a sufficient handle on their data and has prompted many of these institutions to re-evaluate their approaches to data management. Moreover, the increased regulatory scrutiny of the financial services community during the past year has meant that data management has become a key...