Loggerhead vs Grafana, Loki, and Tempo
Most developers who try Loggerhead already have this stack in a compose.yaml. Here is what each one does better, so you can choose with your eyes open.
What the stack does better
Section titled “What the stack does better”- Production scale. Loki, Tempo, and Mimir shard across machines and hold months of data for a fleet. Loggerhead holds one Mac’s worth in one file.
- Linux and servers. The stack runs wherever a container runs. Loggerhead is a macOS app.
- Dashboards and alerting for a team. Grafana has thousands of dashboards, many users, and alert routes to an on-call rotation. Loggerhead has one user and native notifications on this Mac.
- A query language per signal. LogQL, TraceQL, and PromQL reach further than a filter bar when you already know them.
What Loggerhead does better
Section titled “What Loggerhead does better”- One app, nothing to run first. The stack is four or five containers, a collector configuration, and a data-source setup in Grafana before the first log line appears. Loggerhead is a disk image, and the receiver is listening when the window opens.
- One time base. In the stack, a log line and its trace live in two backends, and you configure the derived field that joins them. In Loggerhead they share one store: click the log line, and the trace opens.
- Your coding agent reads it. The MCP server inside the app hands the same logs, metrics, and traces to Claude Code, Cursor, Codex, or Windsurf. No plugin, no token, and no port open to the network. See MCP server setup.
- Telemetry linting. Loggerhead names the debug lines nobody reads, the labels with unbounded cardinality, and the secrets in log fields before production charges for them. See What it checks.
- Nothing leaves the Mac. No account, no hosted service, and no telemetry about you.
Side by side
Section titled “Side by side”| Grafana, Loki, Tempo, Prometheus | Loggerhead | |
|---|---|---|
| Runs as | Four or five containers | One native Mac app |
| Platforms | Anywhere a container runs | macOS 15 or later |
| Signals | One backend per signal | Logs, metrics, and traces in one store |
| Log to trace | A derived field you configure | One click |
| Coding agent | Plugins and API tokens | MCP server built in, loopback only |
| Users | Many, with roles | One |
| Retention | As long as your disks last | Hours on Free, your choice on Pro, one Mac |
| Production traffic | Yes | No |
| Price | Free and open source; you run it | Free tier; Pro is $39 once, Lifetime is $89 once |
The honest limits
Section titled “The honest limits”Loggerhead is not a production observability platform and does not try to be. It stores data in DuckDB on one Mac, it has no Linux build, and it does not page anyone at three in the morning. Keep the Grafana stack for production. Use Loggerhead for the machine in front of you, and for the staging traffic you want to read before a release.
Try it beside the stack
Section titled “Try it beside the stack”Both can run at once. Point one exporter at Loggerhead’s receiver and leave the others where they are. Download Loggerhead and read Connect your first app.