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

Terracotta Blends Low Latency and Big Data

Subscribe to our newsletter

Software AG’s Terracotta unit has introduced its Universal Messaging product, a middleware platform spanning enterprise to web to mobile connectivity, providing low latency performance and big data transport as appropriate – and aligning with the emerging ‘big data in motion’ paradigm.

“Big, fast data at your fingertips requires seamless real-time data movement, no matter what type of system or device you are using,” says Eddie McDaid, managing director of Universal Messaging at Terracotta.

Previously offered as part of the webMethods SOA middleware offered by its parent, Terracotta is integrating Universal Messaging with its BigMemory in-memory technology and In-Genius analytics offerings. The origin of the product is with my-Channels, which Software AG acquired in April 2012.

Universal Messaging offers common APIs – for C++, C#, Java, VBA, .Net and Python – to support publish/subscribe, message queue and peer-to-peer communications. It also supports a number of different transports, from low-latency shared memory and multicast for enterprise applications, to fuller function sockets and HTTP/S for web and mobile.

Indeed, the product supports a number of electronic trading services, including for FX and fixed income, from the likes of Deutsche Bank, UBS, Credit Suisse, JPMorgan Chase and Tullett Prebon. 

Separately, Terracotta this week completed its acquisition of complex event processing vendor Apama, which is also likely to form part of its big data platform, offering the ability to perform analytics on streaming data.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

Date: 20 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining...

BLOG

Building for the Next Big Event: What Prediction Market Operators Need from Exchange Technology

By Ian Salmon, Head of Product Marketing, Adaptive. Prediction markets have moved from the edges of the financial ecosystem into a space that increasingly resembles regulated market infrastructure. What began as a retail phenomenon around political events and sports outcomes has evolved into a sector attracting institutional capital, established exchanges and serious regulatory attention. The...

EVENT

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce the inaugural ExchangeTech Summit London on May 14th 2026. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

GUIDE

Hosted/Managed Services

The on-site data management model is broken. Resources have been squeezed to breaking point. The industry needs a new operating model if it is truly to do more with less. Can hosted/managed services provide the answer? Can the marketplace really create and maintain a utility-based approach to reference data management? And if so, how can...