The platform enables the acquisition, management and distribution of vendor and internally sourced Reference Data. Already being used by a number of tier 1 Financial Services firms, the platform enables, data loading 11x faster, queries 17x faster and on-boarding of new data feeds 20x faster than RDBMS based Data Management systems.
John Randles CEO PolarLake commented: âThe PolarLake Data Management platform has been the result of multiple engagements with tier 1 Financial Services firms and builds on our leading capability in Reference Data Distribution. This solution addresses the problem of scale and insight needed for the next generation Reference Data infrastructure. This is a truly disruptive approach to Reference Data Management, based on post relational semantic web technologies. Data load time, query time, ability to onboard new feeds quickly, meet many and conflicting requirements of Data consumers â these are the challenges large firms are facing with older systems designed for a different era. This platform is applying Internet scale âBig Dataâ technologies to the Reference Data for the first time in this market.â
Mary Knox, Gartner Research Director commented: âIndustry requirements for performance, scalability and availability have changed considerably over the past several years, due to factors such as: burgeoning volumes of reference data; the introduction of more-complex instruments and risk and compliance requirements; globalization, resulting in firms being active in more markets with their own associated reference data sources to be managed; reference data management initiatives that centralize reference data within individual firms, resulting in single systems being required to handle more of the firm's total volume of reference data, creating more-complex data governance processes to be maintained, and straining underlying data distribution and related capabilities.â
Liam Ã MÃ³rÃ¡in of the Digital Enterprise Research Institute (DERI), a world leading research centre on semantics, commented âsemantics will be the future way that information is described, shared and integrated. This approach and technology has huge potential to solve the complexity issue in Data Management in Financial Services. From our work in academia and interaction with leading users of this technology in industry we see PolarLakeâs use of semantics as having the potential to be transformational in terms of how people think of, implement and manage Data Management and Distribution in Financial Services."