microsoft/Trill

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1271 stars · 134 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Trill is a high-performance, single-node, one-pass in-memory streaming analytics engine from Microsoft Research, built on a temporal data and query model. It works as a streaming engine, a lightweight in-memory relational engine, and a progressive query processor that returns early results on partial data.

Use cases

• process real-time event streams in .NET
• run temporal queries over streaming data
• query offline historical data with the same API
• get early query results on partial data
• use a lightweight in-memory relational query engine
• analyze billions of events per day on a single node

When to choose

• you need high-performance streaming analytics in a .NET application
• you want one-pass, in-memory processing without a distributed cluster
• you need a unified model for both real-time and offline (temporal) data
• you want progressive/early results from partial data

When to avoid

• you need distributed, multi-node stream processing like Kafka Streams or Flink
• your stack is not .NET/C#
• you need a full persistent relational database rather than an in-memory engine
• you expect frequent updates or active community development

Facets

library · maturity maintenance

streaming etl data-science big-data analytics dotnet cross-platform windows stream-analytics temporal-data in-memory-query-engine csharp microsoft-research data-engineering real-time linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="microsoft/Trill")