# microsoft/Trill

Trill is a single-node query processor for temporal or streaming data.

Repository: https://github.com/microsoft/Trill
Canonical: https://ross.abutalabs.com/products/trill
Language: C#
License: MIT
License Family: permissive
Topics: streaming-data, temporal-data
Last push: 2024-01-08T16:10:38+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2898, "days_push": 968, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1271, forks 134 (observed 2026-08-28T04:04:12.080632+00:00)

## What it is
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
- artifact type: library
- maturity: maintenance
- function: streaming, etl, data-science
- domain: big-data, analytics
- platform: dotnet, cross-platform, windows
- tags: stream-analytics, temporal-data, in-memory-query-engine, csharp, microsoft-research, data-engineering, real-time, linux, macos

## Member repositories
- microsoft/Trill (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:12.080632+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T05:03:22.744997+00:00, confidence not recorded.
  - readme: https://github.com/microsoft/Trill (fetched 2026-08-28T04:04:12.080632+00:00, sha cbf52a2e7ebc)
- Data as of 2026-08-30T08:39:29.467469+00:00.