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

Xenomorph Integrates TimeScape EDM+ with MongoDB NoSQL Database

Subscribe to our newsletter

Xenomorph has integrated its TimeScape EDM+ enterprise data management solution with the MongoDB NoSQL document database. The integration is available immediately and allows users to benefit from both the data processing and analytics of TimeScape EDM+, and the data storage scale and retrieval capabilities of the MongoDB open source platform.

The integration is designed to support increased data capabilities and transparency, and provides access to data stored in MongoDB through any of the application and programming interfaces to TimeScape EDM+. For example, data stored in MongoDB can be accessed through the Excel interface to TimeScape EDM+, as well as through interfaces to business intelligence tools Tableau and Microsoft Power BI. The data is then integrated with the data validation and cleansing capabilities in the TimeScape EDM+ browser environment.

Brian Sentance, CEO at Xenomorph, explains: “The integration of TimeScape EDM+ and MongoDB offers our clients greater data scalability at reduced cost. NoSQL databases like MongoDB offer great scale-out capabilities, but sometimes this comes at the cost of requiring staff with in depth expertise in the technologies. With this integration, clients can leverage all the data cleansing, audit and analysis functionality in TimeScape EDM+ without needing any knowledge of the underlying MongoDB database technology.”

Before integrating TimeScape EDM+ with MongoDB, Xenomorph investigated the application of NoSQL and scale-out SQL technologies to enterprise data management. Chris Budgen, chief technical architect at Xenomorph, says: “Enterprise data management in financial markets needs to keep up with broader advances in database and data management technology such as NoSQL. Document databases, such as MongoDB, have shown themselves to be an ideal fit for instrument reference and market data, and have the schema flexibility needed to match that of the TimeScape database model and support new data attributes and asset classes. MongoDB also offers the potential to store huge instrument universes.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking Transparency in Private Markets: Data-Driven Strategies in Asset Management

As asset managers continue to increase their allocations in private assets, the demand for greater transparency, risk oversight, and operational efficiency is growing rapidly. Managing private markets data presents its own set of unique challenges due to a lack of transparency, disparate sources and lack of standardization. Without reliable access, your firm may face inefficiencies,...

BLOG

Why your Technology Spend isn’t Delivering the Productivity you Expected

By Gareth Evans, Chief Product Officer, FINBOURNE. An uncomfortable truth: technology spend in asset management has surged 8.9% annually over the past five years across North America and Europe. But productivity? Flat. Cost as a share of assets under management (AUM)? No improvement. Operational expenses in other functions? Despite the promises that technology would create...

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

The Reference Data Utility Handbook

The potential of a reference data utility model has been discussed for many years, and while early implementations failed to gain traction, the model has now come of age as financial institutions look for new data management models that can solve the challenges of operational cost reduction, improved data quality and regulatory compliance. The multi-tenanted...