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 (opens in new tab) | pptx (opens in new tab).
Trill is now open-source, and is available on GitHub here (opens in new tab)!
- You can install Trill binaries via NuGet here (opens in new tab).
- Trill sources are available here (opens in new tab)
- Samples to demonstrate the use of Trill are available for download here (opens in new tab).
- Trill API documentation can be browsed here (opens in new tab).
Personne
Badrish Chandramouli
Partner Research Manager
James Terwilliger
Principal Software Engineer
Peter Freiling
Senior Software Engineer
Yinan Li
Principal Researcher
Rob DeLine
Senior Principal Researcher