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: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...

BLOG

Sphinx Targets 24/7 Energy Markets with Blockchain-Enabled Derivatives Exchange

A new entrant to the energy derivatives landscape is preparing to test whether modern trading infrastructure can reshape how energy risk is managed. Sphinx, a startup exchange operator, is developing a platform designed for continuous trading and near-instant settlement in energy derivatives, initially targeting U.S. natural gas and electricity markets. The Sphinx Global Commodity Exchange...

EVENT

TradingTech Summit London

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

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...