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: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

DiffusionData Targets Agentic AI in Finance with New MCP Server

Data technology firm DiffusionData has released an open-source server designed to connect Large Language Models (LLMs) with real-time data streams, aiming to facilitate the development of Agentic AI in financial services. The new Diffusion MCP Server uses the Model Context Protocol (MCP), an open standard for AI models to interact with external tools and data...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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...