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M3

M3 is an open-source metrics engine for teams scaling Prometheus-based monitoring and centralizing metrics storage.

Place
#22 of 36
Score
6.0
M3's website

What M3 is

M3 is an open-source metrics engine for teams scaling Prometheus-based monitoring and centralizing metrics storage. Its M3DB component stores real-time metrics in a distributed time-series database designed for long retention. It supports PromQL, Graphite, and M3QL queries, and accepts data through Prometheus remote write, StatsD, Carbon plaintext, InfluxDB line protocol, and JSON. The project describes integrations with Prometheus, Graphite, Grafana, and InfluxDB, plus horizontal scaling. It can be installed with binaries or Docker, and the documentation covers Kubernetes cluster deployment. M3 describes a replication model with three copies and quorum reads and writes, and reports an 11X compression ratio. It is available under the Apache 2 license, with contributions welcomed and community support through Slack and GitHub. The project began at Uber’s Observability team in 2014. M3 is free: the listed open-source plan is free. M3DB is not a general-purpose time-series database; large-scale backfilling is not currently possible, and stored values are optimized for float64.

Good

  • Free, open-source Apache 2 project
  • Supports PromQL, Graphite, and M3QL
  • Accepts five listed ingestion methods
  • Supports horizontal scaling and retention policies
  • Deployable with binaries, Docker, or Kubernetes

Watch out

  • Not intended as a general-purpose time-series database
  • Large-scale backfilling is not currently possible
  • Stored values are optimized for float64

Who it suits

M3 suits teams building Prometheus-based monitoring that need centralized, long-retention metrics storage and horizontal scaling. It is also relevant to developers who want an open-source tool with PromQL and Graphite query support.

Verdict

M3 brings a broad set of ingestion options and query compatibility to Prometheus-centered metrics storage. Its stated limits around backfilling and general-purpose use are important to consider before adopting it.

Plans and prices

From M3's own pricing page, checked 11 Oct 2026.

All about pricing
PlanPriceWhat it gives you
M3 (open source)FreeOpen-source metrics engine; no commercial plan or usage limits stated

The facts

Each one read from M3's own pages, with the date it was checked.

What it does

Compression
The home page reports an optimized compression algorithm with an 11X compression ratio.checked 11 Oct 2026
Deployment
M3 can be installed with binaries or Docker, and its documentation includes cluster deployment with Kubernetes.checked 11 Oct 2026
Ingestion formats
M3 supports Prometheus, StatsD, and Carbon ingestion formats.checked 11 Oct 2026
Integrations
The documentation describes integrations with Prometheus, Graphite, Grafana, and InfluxDB.checked 11 Oct 2026
Limitations
M3DB is not intended as a general-purpose time-series database; large-scale backfilling is not currently possible and stored values are optimized for float64.checked 11 Oct 2026
Open source
M3 is open-sourced under the Apache 2 license, and contributions are welcomed.checked 11 Oct 2026
Origin
M3 began as an open-source metrics platform developed by Uber’s Observability team in 2014.checked 11 Oct 2026
Purpose
M3 is a Prometheus-compatible metrics engine for scaling Prometheus-based monitoring and centralized metrics storage.checked 11 Oct 2026
Query compatibility
M3 advertises 100% PromQL compatibility and supports Graphite query languages.checked 11 Oct 2026
Reliability
The home page describes three data replicas with quorum writes and reads for consistency.checked 11 Oct 2026
Scale
The home page says M3 has been used to store tens of billions of active metric time series.checked 11 Oct 2026
Storage
M3DB is a distributed time-series database for storing real-time metrics at long retention.checked 11 Oct 2026
Support
The project links to a community Slack and GitHub repository.checked 11 Oct 2026

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