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

AI Personalization in Trading: Where We Are and Where We’re Heading

Ivan Kunyankin, Data Science Team Lead at Devexperts. AI may have started out its brokerage career in back-office, enhancing operational efficiency by providing human teams with actionable client insights, but it’s now being promoted to more sensitive client-facing roles. As AI tools continue to evolve and become normalized in more areas of daily life, financial...

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

RegTech Suppliers Guide 2019

Welcome to our brand new RegTech Suppliers Guide. This unique guide provides detailed data profiles on close to 100 suppliers in the RegTech world, offering you an unrivalled selection of solutions for your most pressing financial regulatory challenges. The aim of the A-Team’s RegTech Suppliers Guide is to steer you through this complex marketplace, offering...