About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Progress Real Time’s DataXtend Provides Data Integrity Capability

Subscribe to our newsletter

Progress Real Time, best known for its software for handling real-time complex event processing particularly in the electronic trading environment, has positioned a new product offering to exploit opportunities in the reference data environment.

Progress Real Time this month launched its DataXtend line of infrastructure technologies, comprising a Replication Engine (RE) module and a Caching Engine (CE) module. The DataXtend CE module incorporates Progress’s so-called Continuous Cache Coordination (CCC) feature, that could help financial institutions ensure that their existing databases of reference data are kept in sync when changes are made to them.

According to Ken Rugg, vice president of real time data services at Progress, the company’s intention is not to define reference data models for financial institutions, but rather to provide the database management infrastructure that ensures data integrity where these databases are already in place. The DataXtend CE module works with the major relational database management systems, including Sybase, Oracle and SQL Server, to map between existing reference data schemas to ensure consistency and integrity of data.
An example of a possible deployment of DataXtend would involve a client seeking to take an incremental approach to implementing a centralized reference data management environment. Here, both RE and CE could be used to ensure consistency as new data models are applied to specific applications within the enterprise.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

Rush to Build AI into Risk Models Creating Dangerous Capability ‘Gaps’

Asset managers may be exposing themselves to operational vulnerabilities as they rapidly integrate artificial intelligence and agents into their risk management systems, often without first ensuring trust in the data that will feed the models. A survey found that three-quarters of 178 senior investment leaders questioned said they expect the pace of AI and agents...

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

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...