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

Bloomberg Acquisition of Canoe Marks ‘Major’ Step in Private Markets for Data Behemoth

Bloomberg is to acquire private market data automation specialist Canoe Intelligence as the financial data behemoth seeks to expand its offerings in the booming market for alternatives data. In what the company says is one of the most significant deals in its history, Bloomberg has characterised the acquisition as the “latest step” in a multi-year...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...