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

Tervela, Teradata Partner To Move and Distribute Big Data

Subscribe to our newsletter

Messaging specialist Tervela is partnering with analytics database vendor Teradata, to deliver solutions for moving and distributing big data.  The alliance will help customers upload their data into Teradata’s data warehouse for analysis, and will also allow rapid distribution of data across multiple warehouses.

“We are seeing demand for high performance data movement in capital markets and other verticals,” says Ben Gillis, area vice president at Teradata.  Meanwhile, Tervela founder and CTO Barry Thompson says the collaboration began as a marketing and sales partnership: “Teradata customers are looking for ways to speed analytics and decision support, leveraging larger amounts of data generated in real-time.  Our partnership grew out of demand from customers.”

Thompson further elaborates on the application driver in financial markets: “The major driver for this combination is real-time, operational analytics, which are of critical and growing importance in finance.  Risk analysis, position analysis, trading analytics, market data distribution and analytics, tied into operational trading and execution.”

Tervela’s messaging fabric is based on message switch and persistence engine appliances to provide low latency and fault tolerance across both local and wide area networks.  Integrating Tervela and Teradata was straightforward, says Thompson, “involving creating a connection between the well-known APIs of both products.”

Last year, the company announced a partnership with HP unit Vertica.  Thompson notes that Tervela is also working on partnerships with other vendors too.  “There is a lot of activity going on with Tervela in the big data space,” he says.

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

Optimising the Trader Desktop: A Strategic Imperative

The modern trading desk, a nexus of high-speed decision-making and complex data flows, is in the midst of profound transformation. At a recent A-Team Group webinar entitled ‘Enhancing Trader Efficiency with Interoperability – Innovative Solutions for Automated and Streamlined Trader Desktops and Workflows’, experts Dan Schleifer, President and co-founder of Interop.io, Richard Leder, CEO of...

EVENT

AI in Capital Markets Summit London

Now in its 2nd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Regulatory Data Handbook 2014

Welcome to the inaugural edition of the A-Team Regulatory Data Handbook. We trust you’ll find this guide a useful addition to the resources at your disposal as you navigate the maze of emerging regulations that are making ever more strenuous reporting demands on financial institutions everywhere. In putting the Handbook together, our rationale has been...