Trill is a high-performance open-source in-memory incremental analytics library. It can handle both real-time and offline data, and is based on a temporal data and query model. Trill can be used as a streaming engine, a lightweight in-memory relational engine, and as a progressive query processor (for early query results on partial data).
You can learn more about Trill from the publications below, or from our slides here pdf | pptx.
Trill is now open-source, and is available on GitHub here!
People
People
Badrish Chandramouli
Senior Principal Researcher
James Terwilliger
Principal Software Engineer
Peter Freiling
Senior Software Engineer
Jonathan Goldstein
Senior Principal Researcher
Yinan Li
Principal Researcher
Rob DeLine
Senior Principal Researcher