NEW YORK & LONDON & SINGAPORE – October 4, 2016 – Xenomorph, the data and analytics people, today announced that its TimeScape EDM+, Xenomorph’s enterprise data management (EDM) solution for financial markets, has been integrated with the MarkLogic® database, a leading operational and transactional Enterprise NoSQL database.
TimeScape EDM+ offers ready-to-run data integration, cleansing, validation, audit, analysis and distribution for reference, market and derived data. Clients can leverage all of this functionality integrated with the ACID compliant, scale-out, bitemporial capabilities of the MarkLogic database. Both structured and unstructured data stored in the MarkLogic database can be integrated with data and analytics in TimeScape EDM+, enabling business users to access, validate and analyse these combined datasets without any specialist technical knowledge. A user can access data through one family of consistent TimeScape EDM+ interfaces whether their preference is Excel, a programming API like Python, BI platforms like Tableau and Power BI, or mathematical environments like Matlab and R.
“The integration of TimeScape EDM+ with the MarkLogic database continues our efforts to explore the benefits of NoSQL and scale-out SQL technologies applied to EDM in financial markets,” says Chris Budgen, Chief Technical Architect, Xenomorph. “The combination of document and semantic storage within the MarkLogic database is an interesting fit with the TimeScape database model, enabling easy support of new asset classes through schema flexibility combined with easy definition of relationships between different financial objects, such as those from a curve to its underlying data points.”
“The data management and analytical needs of financial markets customers continues to be challenging due to the competitive and regulatory environment. This partnership will help the financial service providers to address those requirements,” said David Ponzini, Senior Vice President, Corporate Development and Marketing, MarkLogic Corporation. “The combination of our enterprise-strength, flexible database platform and TimeScape EDM+ offers a robust, agile, solution that rationalizes data logistics and improves time-to-market deployment.”
“The integration of TimeScape EDM+ with the MarkLogic database extends the ways in which our clients can manage, validate and analyse data,” adds Brian Sentance, CEO, Xenomorph. “Clients face many data management challenges currently, not least of which are the changes introduced by new regulations such as FRTB and IFRS 9. Delivering data management solutions that have the flexibility to instantly integrate new asset classes, new datasets and new types of data into these new requirements is a key to business success in coming years. TimeScape EDM+ with the MarkLogic database offers one way in which these issues can be addressed through the combination of technical scale and business flexibility.”
Xenomorph believes that great decisions are made when everyone can easily access and analyze the same high quality data. Based on this belief, we develop software solutions for financial markets that enable both technologists and business users alike to manage, cleanse and analyze more data, more quickly. These solutions include an Enterprise Data Management system, TimeScape EDM+, a cloud-based data publishing service, TimeScape MarketPlace and our underlying data and analytics technology platform, TimeScape. Trading, research, risk, product control, IT and back-office staff use these solutions at investment banks, brokerages, insurers, hedge funds and asset management companies worldwide. Established in 1995, Xenomorph has offices in London, New York and Singapore.
For more information on Xenomorph, our clients, services and solutions, please visit www.xenomorph.com.
Xenomorph® and TimeScape™ are registered trademarks of Xenomorph Software Limited. Other product and company names herein may be trademarks of their respective owners.
MarkLogic helps customers create value from complex data faster. Our platform ingests data from any source, creating and refining metadata to support powerful models. Customers use these models for deep search and query, building enterprise applications and bringing unique insights to analytics and machine learning.