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

Asset Control Integrates DataStax Enterprise to Power Market Data Platform

Subscribe to our newsletter

Asset Control has teamed up with DataStax to deliver a cloud based, NoSQL market and reference data platform. The platform is powered by DataStax Enterprise, integrated with Asset Control’s AC Plus enterprise data management (EDM) solution, and addresses issues around data volume, speed and access.

Asset Control considered a number of technologies to support a data platform before selecting DataStax Enterprise for its support, scalability and inclusion of technologies such as Apache Cassandra and Spark, and capabilities such as Solr enterprise search and enterprise-level security. The integration creates golden copy data in AC Plus and provides storage, manipulation and access in DataStax Enterprise.

The company has designed the integration to reduce the time to deliver data to Asset Control users and allow both business and operational users to quickly and easily access market data, including sources that do not require a traditional mastering process, such as alternative datasets and proprietary data.

Martijn Groot, vice president of product management at Asset Control, explains: “The platform provides a scalable store for data that is mastered in AC Plus and provides a number of ways business and operations can access the data, for example using the Solr search capability or RestAPI in the DataStax Enterprise stack. Benefits of the platform include its deployment as a cloud or hybrid solution, its scalability, and its fast and easy access to data for business users.”

He suggests some Asset Control users will replace internal data stores that do not operate fast enough to meet today’s business needs for market data with the new platform, and says many clients are interested in the concept. The platform is being built with a large sell-side client and is due to be in production by early 2018.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

Modernising for Continuous Markets: Why Infrastructure Must Be Built for Constant Change

Trading infrastructure modernisation is no longer being driven solely by latency reduction or cost efficiency. The stronger message emerging across the industry is that firms are having to prepare for markets that are increasingly global, extended-hour, automated and operationally unforgiving. That was the central takeaway from a panel discussion at A-Team Group’s recent TradingTech Summit...

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

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...