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Trill is a high-performance one-pass in-memory streaming analytics engine from Microsoft Research. 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).
- Of course, the sources are right here!
- You can get binaries from our NuGet feed.
- You can also check out samples of Trill usage at our samples repository.
- The Trill paper appeared at VLDB.
- An article on Trill appeared in the IEEE Data Engineering Bulletin.
- The Trill technical report.
- Additional documents located in the /Documentation directory:
- TrillQueryWritingGuide: introduces basic concepts of Trill query authoring
- Ingress: describes how data is ingressed into and egressed out of Trill
- TrillInternals: outlines Trill innovations and internals
- BestPractices: describes best practices low-memory real-time deployments
- HighAvailability: details Trill high-availability support
- UserDefinedAggregates: introduces a framework for query authors to create custom aggregates