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!
- You can install Trill binaries via NuGet here.
- Trill sources are available here
- Samples to demonstrate the use of Trill are available for download here.
- Trill API documentation can be browsed here.