PolarLake offers Bitemporal data support

This will allow clients to make changes to Historic Data, view the changes to Historic Data over time and also look at the detailed history of the Data updates. This extends PolarLake's capabilities in processing Financial Data such as Pricing, Trade and Position, and Reference Data (Issue, Issuer, Credit Rating, Corporate Actions etc.). PolarLake already has a number of implementations in production supporting Bitemporal behaviour.

Commenting on the release Warren Buckley, founder and CTO of PolarLake said, "The Investment Banking and Asset Management communities are facing new levels of transparency requirements from Regulators when it comes to Financial Data. Regulators will be keen to know what you knew and when you knew it about particular Data Entities. They will also want to know when your view of that Data Entity changed over time, with detailed history of the changes. PolarLake's core architecture is a great fit for the demands of Bitemporal Data. Our unique use of semantic technologies means that the entire lifecycle of Financial Data Entities over long periods of time can be fully captured, understood and reported against in the PolarLake Platform with no special coding."