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

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

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

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...