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

NovaSparks Adds Data Feeds; Outlines FPGA Matrix Architecture; Details Performance

Subscribe to our newsletter

NovaSparks has added support for an additional five data feeds to its Gen2 appliance, while at the same time outlining the FPGA matrix architecture that the appliance implements in order to handle multiple feeds and application functionality, and detailing its latency profile.

The new data feed support comprises feeds from Bats (BYX and BZX), Direct Edge (NG-A and NG-X), NYSE Arca, the London Stock Exchange (Level 2) and Turquoise (Level 2). Support for Nasdaq, CME and Eurex was already available. NovaSparks says the choice of the added data feeds was driven by customers, though it is currently focusing on providing support for equities and futures exchanges in Europe and North America.

Gen2 is a 2U rackable appliance based on FPGAs from Altera – up to three per appliance. Multiple appliances can be inter-connected to scale up the matrix to support multiple data feeds and trading functions.

The company has released data detailing the latency profile of its matrix architecture. “Our FPGA Market Data Matrix Feed Handlers process the cash equity feeds in less than 700 nanoseconds even during micro bursts and message volumes peaks,” says NovaSparks CEO Yves Charles.

The chart below details the latency observed when a full day of ITCH message data – some 280 million packets – is replayed in just eight minutes.

 

NovaSparks attributes the consistency of latency under load to the matrix architecture’s  implementation of a full set of functions in multiple FPGAs, as opposed to other approaches where FPGAs are used simply for basic acceleration, such as network protocol handling and data transformation, while most of the processing is performed on a traditional CPU.

In the NovaSparks architecture, FPGAs are used for UDP, IP and network handling, message parsing, symbol filtering, book building and fan out to downstream applications. Yves says that the company will this month roll out a proof of concept implementation running trading algorithms on FPGAs within the matrix.

Subscribe to our newsletter

Related content

WEBINAR

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

Date: 17 March 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes 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...

BLOG

DiffusionData Targets Agentic AI in Finance with New MCP Server

Data technology firm DiffusionData has released an open-source server designed to connect Large Language Models (LLMs) with real-time data streams, aiming to facilitate the development of Agentic AI in financial services. The new Diffusion MCP Server uses the Model Context Protocol (MCP), an open standard for AI models to interact with external tools and data...

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

Enterprise Data Management Europe 2010

he US may seem to be ahead of the rest of the world in terms of championing the data management cause with the inclusion of reference data focused items in the Dodd-Frank Act, but Europe is not too far behind. Senior European level officials such as European Central Bank (ECB) president Jean-Claude Trichet have taken...