Grafana’s open and composable stack gives each signal a specialized backend. molesignal deliberately reduces that composition: logs, metrics, traces, and profiles enter one product and one investigation model.
Compare · Grafana Stack
Both paths can be self-hosted and object-storage based. The trade-off is consolidation versus independent components and specialized query languages.
| Decision point | molesignal | Grafana Stack |
|---|---|---|
| Backend layout | One application with standalone and multi-role modes; logs, metrics, and traces share the columnar data plane. | Grafana for visualization with Loki for logs, Mimir for metrics, Tempo for traces, and Pyroscope for profiles. |
| Query model | SQL across columnar telemetry plus a documented PromQL subset for metrics. | Specialized query languages and APIs, including LogQL, PromQL, TraceQL, and profile queries. |
| Cross-signal path | Investigation frames preserve tenant, time, service, trace, and profile context across drill-downs. | Grafana links backends through data sources, derived fields, exemplars, and native integrations. |
| Profiles | Profiles are a first-class product route with pprof, Pyroscope-compatible, and OTLP Profiles ingest. | Grafana Pyroscope is a dedicated continuous-profiling database integrated with Grafana and the other stack components. |
| Operations | A smaller role set with Postgres, object storage, and local WAL state on ingesters. | Each selected backend has its own deployment, scaling, retention, upgrade, and availability model. |
| Maturity and ecosystem | Pre-1.0 with a focused integration set and a growing community. | Long-established projects, a large plugin ecosystem, and broad community knowledge. |
Migration
Open standards make this a routing test, not an instrumentation rewrite.
Mirror OTLP and Prometheus traffic for one service into molesignal.
Keep Grafana as the reference UI while reproducing the same dashboard and alert.
Compare component count, upgrade paths, retention behavior, and the cross-signal incident workflow.
Move only the workloads where the reduced operating surface is worth giving up stack composability.
Official sources
Product capabilities, editions, and prices change. Re-check the linked first-party sources before making a procurement or production decision.
molesignal is not affiliated with Datadog, Grafana Labs, Elastic, SigNoz, or OpenObserve. Product names are the property of their respective owners.
Self-hosted data ownership and infrastructure-led cost versus a broad, managed SaaS platform.
A focused Apache 2.0 observability data plane versus the broader Elasticsearch and Kibana platform.
Two OpenTelemetry-native, self-hostable products with different storage engines, signal emphasis, and maturity.
Two Rust and object-storage observability systems, separated by licensing, profiles, breadth, and maturity.
Start the self-hosted sandbox, send a representative OTLP workload, and test the investigation path your team uses during a real incident.