Kerf Software Information

Kerf is a next-generation time-series database designed for large volumes of numeric data. Kerf shines on financial data and other analytic problems, such as processing terabytes of logfiles. Kerf's priorities are speed and ease-of-use, and it allows the user to solve complicated time-series problems without the steep learning curve of other products. Kerf natively supports the JSON and SQL languages that developers are already familiar with. Kerf has support for both real-time and historical databases. Kerf allows you to construct queries and functions beyond the capabilities of SQL, operating directly on persisted data. Kerf is not just a historical database, it can also operate as a live-streaming database. Historical research and complex event processing can be done with the same code. Traditional SQL based data stores do not offer programming capabilities beyond simple aggregates. Kerf allows for complex operations on persisted data structures optimized for speed of access. The traditional approach to analytics is to pull persisted data into a more advanced programming environment. Kerf brings the analytics directly to the data, allowing for calculations at close to theoretical machine speed. Kerf integrates the language and the database into a unified product that makes sense for big data problems. See the article on Kerf in AutomatedTrader.