# m3db/m3

M3 monorepo - Distributed TSDB, Aggregator and Query Engine, Prometheus Sidecar, Graphite Compatible, Metrics Platform

Repository: https://github.com/m3db/m3
Canonical: https://ross.abutalabs.com/products/m3
Homepage: https://m3db.io/
Language: Go
License: Apache-2.0
License Family: permissive
Topics: prometheus, kubernetes, graphite, metrics, tsdb, query-engine, aggregator, m3
Last push: 2026-08-17T15:26:52+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 8, longevity 100
- inputs: {"age_days": 3732, "days_push": 16, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4895, forks 465 (observed 2026-08-28T04:09:02.051095+00:00)

## What it is
M3 is an open-source distributed metrics platform comprising a purpose-built time series database (M3DB), a metrics aggregator, a Prometheus-compatible query engine supporting PromQL and Graphite, and a Prometheus sidecar. It is designed to ingest and query billions of time series at scale, used in production by companies like Uber, Walmart, and LinkedIn.

## Use cases
- store and query Prometheus metrics at large scale
- downsample and aggregate metrics streams
- replace Graphite with a scalable storage backend
- run a centralized metrics platform for thousands of services
- query billions of time series with PromQL
- reduce storage costs for long-term metrics retention

## When to choose
- you need Prometheus-compatible long-term storage at very large scale
- you want global metrics aggregation and downsampling
- you need Graphite and PromQL support in one engine
- you're running out of headroom with Thanos or VictoriaMetrics at extreme scale

## When to avoid
- you have small-scale monitoring needs where plain Prometheus suffices
- you want a simple single-binary setup with minimal operational overhead
- you need non-time-series data storage
- your team cannot operate a distributed cluster with etcd dependencies

## Facets
- artifact type: service
- maturity: stable
- function: database, monitoring, search-engine, streaming, api-framework
- domain: monitoring, databases, time-series, analytics
- platform: go, self-hosted, cloud
- tags: tsdb, prometheus, graphite, metrics-platform, query-engine, aggregator, sidecar, promql, devops, docker, kubernetes, linux, macos

## Member repositories
- m3db/m3 (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:02.051095+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 2026-08-29T18:18:10.548995+00:00, confidence not recorded.
  - readme: https://github.com/m3db/m3 (fetched 2026-08-28T04:09:02.051095+00:00, sha d9b515dc22b1)
  - homepage: https://m3db.io/ (fetched 2026-08-29T09:00:26.879114+00:00, sha 2f7120c88276)
  - site_page: https://m3db.io/about (fetched 2026-08-29T09:00:26.888412+00:00, sha 5b105d0d4fa4)
  - site_page: https://m3db.io/docs (fetched 2026-08-29T09:00:26.890833+00:00, sha 579c392ab751)
  - site_page: https://m3db.io/docs/quickstart/docker (fetched 2026-08-29T09:00:26.893166+00:00, sha ff08cdfbf450)
- Data as of 2026-08-30T08:39:29.467469+00:00.