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

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

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 infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

Modular vs Extensible Modular: Choosing Technology for Prediction Markets

By Daniel Davis, Chief Revenue Officer, Connamara Technologies. Ask most people how a new trading venue should approach its technology, and the answer comes back as a binary: build it yourself, or buy something off the shelf. Build, and you own everything, but you spend years getting to your first trade. Buy, and you launch...

EVENT

Eagle Alpha Alternative Data Conference, Spring, New York, hosted by A-Team Group

Now in its 9th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Regulatory Reporting Handbook – First Edition

Welcome to the inaugural edition of A-Team Group’s Regulatory Reporting Handbook, a comprehensive guide to reporting obligations that must be fulfilled by financial institutions on a global basis. The handbook reviews not only the current state of play within the regulatory reporting space, but also looks ahead to identify how institutions should be preparing for...