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

LSEG and Microsoft Deepen Partnership to Power AI Agents with Financial Data

The London Stock Exchange Group (LSEG) and Microsoft are taking the next step in their strategic partnership, announcing a plan to transform how financial services professionals interact with data by embedding LSEG’s vast datasets into Microsoft’s AI ecosystem. The collaboration will enable users to build and deploy customised AI agents, or ‘Copilots,’ within their daily...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Entity Data Management Handbook – Second Edition

Entity data management is this year’s hot topic as financial firms focus on entity data to gain a better understanding of customers, improve risk management and meet regulatory compliance requirements. Data management programmes that enrich the Legal Entity Identifier with hierarchy data and links to other datasets can also add real value, including new business...