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

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

Date: 17 March 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes 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...

BLOG

The New Shape of Market Data: Why Institutions Are Moving Toward a More Modular, Machine-Readable Architecture

For decades, the market-data ecosystem has been defined by reliance on a handful of dominant vendors. Their breadth, depth and entitlements frameworks became foundational to both the trading desk and the wider enterprise. But the requirements of the modern financial technology stack have shifted dramatically. Cloud-native development, agentic AI workflows, and a proliferation of analytics-driven...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

High Performance Technologies for Trading

The highly specialised realm of high frequency trading without doubt is a great driver for a range of high performance technologies that are becoming essential tools for Wall Street. More so than the now somewhat pedestrian algorithmic trading and analytics/pricing applications that are usually cited as the reason that HPC is hitting the financial markets,...