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 Offers FPGA Optimised Market Data Distribution for Microwave Networks

Subscribe to our newsletter

Field programmable gate array (FPGA) market data distribution company NovaSparks has developed patent pending bandwidth shaping and market data conflation mechanisms that allow its FPGA ticker plant, NovaTick, to automatically adapt its output data rate to meet microwave networks’ strict bandwidth requirements.

Transmitting market data updates over microwave networks is notoriously challenging due to the networks’ inherently low bandwidth capacity. Heavy traffic periods magnify the challenge. NovaSparks’ new output interface means banks and trading firms can use NovaSparks deployments to distribute market data efficiently over their existing microwave networks.

NovaTick’s microwave optimised output feature is implemented in pure hardware that provides lower and more deterministic latency than comparable software solutions. In addition to bandwidth shaping and market data conflation, NovaTick provides the ability to aggregate trades and publish snapshots. Available for all 60 feeds in the NovaTick catalogue, the new is an additional output to those already in place and including 10Gig Ethernet, PCIe DMA and NovaLink options.

Luc Burgun, CEO at NovaSparks, says: “Market data distribution over microwave networks is an expensive yet critical part of any ultra-low latency trading infrastructure. Conflation ensures the most recent market data updates are transmitted, while simultaneously eliminating large latency peaks that would otherwise occur during market bursts.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Reviewing the Latency Landscape and the Next Generation of Ultra-Low Latency Infrastructure

Date: 17 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Ultra-low latency is no longer the preserve of a handful of proprietary trading firms. As new asset classes electronify, data volumes surge, and regulatory expectations around execution quality and resilience tighten, the performance demands on trading infrastructure are broadening...

BLOG

Introducing Market & Alt Data Insight: Advancing the Industrialisation of Data in Financial Markets

Financial markets are entering a new phase in the evolution of data. Data has always underpinned trading and investment workflows. What has changed is the scale, diversity and strategic management of that data across the enterprise. Traditional market data, alternative signals, derived datasets and AI-generated features now sit on the same operational continuum. The strategic...

EVENT

AI in Capital Markets Summit London

Now in its 3rd 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 Handbook – Seventh Edition

Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...