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Grafana Cloud Application Observability vs M3

Both stand on metrics monitoring tools. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Grafana Cloud Application Observability

Free plan AndroidAPIExtension+5

Grafana Cloud Application Observability brings several telemetry types and service-level views together for application investigation. Review the included host hours and billing basis, especially for serverless environments, before choosing a plan.

Visit Grafana Cloud Application Observability

M3

Free plan APILinuxMac+1

Pick M3 for open-source, Prometheus-compatible metrics storage when long retention, scaling, and its supported query and ingestion options fit your needs. Look elsewhere for general-purpose time-series storage or if your workflow depends on large-scale backfilling or stored values beyond the float64 optimization.

Visit M3

The facts

Grafana Cloud Application ObservabilityM3
Free planYesYes
Open sourceNoNot published
Runs onAndroid, API, Extension, iPhone, Linux, Mac, Web, WindowsAPI, Linux, Mac, Self-hosted
Lowest paid planPro: $0.03 per host a monthFree or on request
Plans published31
MakerNot publishedNot published
Websitegrafana.comm3db.io
On metrics monitoring tools#8 of 37#12 of 37

Grafana Cloud Application Observability: what it does well

  • Automatically discovers services and relationships.
  • Service catalog displays latency, errors, and request rate.
  • Unifies metrics, logs, traces, and profiles.
  • Free plan includes up to 2,232 host hours monthly.

What to know first

  • Free plan includes community support.
  • Paid usage charges for host hours and telemetry.
  • Serverless billing is based on ingested telemetry.

M3: what it does well

  • Supports PromQL, Graphite, and M3QL queries.
  • Accepts Prometheus remote write, StatsD, Carbon, InfluxDB line protocol, and JSON.
  • Supports horizontal scaling and retention policies.
  • Offers binaries, Docker, and documented Kubernetes cluster deployment.
  • Open-sourced under Apache 2 with contributions welcomed.

What to know first

  • M3DB is not intended as a general-purpose time-series database.
  • Large-scale backfilling is not currently possible.
  • Stored values are optimized for float64.

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