Comparison · Observability

Skalpai vs Grafana: visualize signals or keep the full context?

Grafana excels at exploring and visualizing data from many sources. Skalpai gives a more opinionated view: it links signals to the applications it builds, deploys and monitors.

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The key difference

Two scopes, not two copies of the same tool.

Grafana lets the team compose its own sources and dashboards. Skalpai already knows the projects, versions, machines and deployment events.

Skalpai vs Grafana, point by point

CriterionSkalpaiGrafana
FocusIntegrated application pathData visualization and exploration
DashboardsPredefined product viewsHighly configurable dashboards
SourcesKnown application and infrastructure sourcesWide choice of data sources
CI/CDNative to the pathData imported from other systems
DeploymentState, versions and rollbackEvents and integrations
ConfigurationOpinionated and guidedFlexible, compose your own

Choose Skalpai if…

  • You want a view already linked to projects and deployments.
  • You would rather not build every dashboard.
  • You want delivery, machines and telemetry together.

Choose Grafana if…

  • You cross-reference many independent sources.
  • You want deeply customized dashboards.
  • You keep an existing collection and storage pipeline.

No forced migration

Can you use Skalpai and Grafana together?

Yes. Grafana can remain the advanced exploration tool while Skalpai keeps the operational thread between code, deployment and incident.

Frequently asked questions

Does Skalpai replace Grafana?

Only for teams that favor integrated views. Grafana stays more flexible for custom dashboards.

Do both use OpenTelemetry?

Skalpai receives OpenTelemetry signals. The Grafana ecosystem also works with open telemetry, depending on the components you choose.

Which tool needs less configuration?

Skalpai makes more decisions for you. Grafana offers more freedom and asks for more assembly.

Official sources

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