The leading knowledge platform for the financial technology industry
The leading knowledge platform for the financial technology industry

A-Team Insight Blogs

Xenomorph Integrates TimeScape EDM+ with MongoDB NoSQL Database

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.”

Related content

WEBINAR

Recorded Webinar: MiFID II: Data for transaction reporting

Don’t miss this opportunity to view the recording of this recently held webinar. Markets in Financial Instruments Directive II (MiFID II) is complemented by Markets in Financial Instruments Regulation (MiFIR), which builds out transaction reporting requirements with a number of new reporting obligations. The data and data management challenges of reporting include an increase in...

BLOG

Reformis Adds Matrix IDM and NeoXam to Vendor Partner Programme

Reformis, a buy-side business transformation consultancy, continues to build out its vendor partnership programme with the addition of Matrix IDM’s cloud native data management software, and NeoXam’s Impress reporting solution. These join the company’s list of existing partners and products including IHS Markit’s EDM software, Snowflake’s cloud data platform, and Compliance Solution Strategies’ Accudelta product....

EVENT

Data Management Summit London

The Data Management Summit Virtual explores how financial institutions are shifting from defensive to offensive data management strategies, to improve operational efficiency and revenue enhancing opportunities. We’ll be putting the business lens on data and deep diving into the data management capabilities needed to deliver on business outcomes.

GUIDE

FRTB Special Report

FRTB is one of the most sweeping and transformative pieces of regulation to hit the financial markets in the last two decades. With the deadline confirmed as January 2022, this Special Report provides a detailed insight into exactly what the data requirements are for FRTB in its latest (and final) incarnation, and explores what needs to be done in order to meet these needs on a cost-effective and company-wide basis.