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: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be executed effectively. At the top of the list is regulatory compliance. Regulators demand a...

BLOG

Navigating the Complex New Sanctions Landscape: Webinar Preview

The criticality of sanctions to the armoury of international relations has been amplified over the past decade as geopolitical and trade tensions have intensified. Since Russia’s annexation of Crimea in 2014 and its attempted full-scale invasion of Ukraine in 2022, governments around the world have increased sanctions on nations and entities by 700%, according to...

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

Regulatory Data Handbook 2022/2023 – Tenth Edition

Welcome to the tenth edition of A-Team Group’s Regulatory Data Handbook, a publication that has tracked new regulations, amendments, implementation and data management requirements as regulatory change has impacted global capital markets participants over the past 10 years. This edition of the handbook includes new regulations and highlights some of the major regulatory interventions challenging...