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

Solving the Multicast Challenge of Distributing Market Data in the Cloud

Subscribe to our newsletter

As cloud becomes increasingly widely adopted in the financial markets sector, one area of cloud migration that remains elusive is that of market data distribution. The key stumbling block is the fact that the industry almost exclusively relies on multicast for distributing real-time market data. Multicast is tried and tested, it works, it is well understood, and the majority of systems that process real-time market data have been built with multicast in mind.

However, many believe that this current state of affairs is holding the industry back, and that if multicast distribution can be made possible via the cloud, a wide range of new opportunities, particularly around real-time data and analytics, could be opened up, which could move the industry forward in new and exciting ways.

A common perception in the industry is that cloud and multicast distribution are mutually exclusive. But is this actually true? In a recent webinar held as part of the AWS EMEA Financial Services Symposium, Peter Williams, Chief Technology Officer at CJC, shared his recent experience of running a proof of concept (PoC) with AWS, which demonstrated how to solve the challenges of distributing financial data in the cloud with joint multicast.

The goal of CJC’s PoC was to determine if multicast over the cloud was viable not just from a technical perspective, but also from an economic one. And according to Williams, despite various challenges they faced along the way, the results were positive, with acceptable – and deterministic – performance and latency in real-world trading scenarios.

It remains to be seen whether multicast will continue to be the method of choice for distributing real-time market data going forward, even if it can operate in cloud environments. But it is encouraging to see that CJC and AWS have run such a successful PoC, which shows that multicast and cloud can work together, for specific use cases.

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

Bloomberg Enhances RMS Enterprise to Unlock Proprietary Models and Strengthen Research Oversight

Bloomberg has announced significant enhancements to its enterprise-level Research Management Solution (RMS Enterprise), introducing two new capabilities: Custom Fundamentals and Digest Alerts. The updates are designed to address long-standing data interoperability challenges within investment firms, allowing research teams to better integrate proprietary financial models into their workflows and strengthen oversight across their organisations. For many...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

Entity Data Management Handbook – Third Edition

Welcome to the third edition of the Entity Data Management Handbook which is available for free download. In this updated edition we delve into the role entity data plays in the smooth running of financial institutions and capital markets, the challenges of attaining high quality data, and various aspects, approaches and technologies involved in managing...