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

Bloomberg BQuant Wins A-Team AICM Best AI Solution for Historical Data Analysis Award

When global markets were roiled by the announcement of massive US trade tariffs, Bloomberg saw the amount of financial and other data that runs through its systems surge to 600 billion data points, almost double the 400 billion it manages on an average day. “These were just mind-blowingly large volumes of data,” says James Jarvis,...

EVENT

TEST Event page 2

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and 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

Preparing For Primetime – How to Benefit from the Global LEI

They say time flies when you’re enjoying yourself, and so it seems the industry have been having a blast with its preparations for the introduction of the global legal entity identifier (LEI) next month. But now it’s time to get serious. To date, much of the industry debate has centred on the identifier itself: its...