Trill is a high-performance 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 binaries (for .NET) are now publicly available under a non-commercial evaluation license!
- You can find and install Trill via NuGet here.
- Samples to demonstrate the use of Trill are available for download here.
- Trill API documentation can be browsed here.