Datadog vs Grafana
Compare Datadog and Grafana on deployment, pricing and source model before you shortlist.
Scroll horizontally to compare every column →
| Attribute |  DatadogOther license |  GrafanaOpen source |
|---|---|---|
| Category | Monitoring & Observability | Monitoring & Observability |
| Primary focus | Observe infrastructure and applications | Open source dashboards and observability across many data sources |
| Deployment | Web | Self-hosted / Web |
| Source model | Other license | Open source |
| Pricing model | paid | freemium |
| API available | Yes | Yes |
| Vendor website | Visit vendor ↗ | Visit vendor ↗ |
| ITHub profile | View full profile → | View full profile → |
ⓘ Confirm technical details and prices with each vendor before making a decision. Want a third tool in the mix? Open the interactive comparison →
Start with the architecture and workload
Start with operating model. Datadog is a managed observability platform; Grafana can be one component in a self-managed stack or used through a managed service. The architecture, telemetry ownership and cost model differ before individual dashboard features are compared.
Define the signals you need, expected ingestion and retention, and who will operate collectors, storage and alerting. Validate projected cost and incident workflow with current documentation.
Compare these first
- Metrics, logs, traces and profiling coverage
- Collector and storage ownership
- Cardinality, retention and projected ingestion cost
- Alert routing, RBAC and auditability
Shortlist Datadog when
Shortlist Datadog when the team wants a managed, integrated platform and accepts a vendor service and its usage model.
Shortlist Grafana when
Shortlist Grafana when data-source flexibility, self-hosting or direct control of the observability stack matters more than minimizing platform operations.
Run this proof of concept
Instrument one representative service and infrastructure workload. Reproduce a real incident, measure query and alert latency, and calculate cost using the expected telemetry volume and retention.
Migration and rollback
Inventory data, identities, integrations and configuration. Test export, import and rollback with production-like data.
Security and operations
Compare access controls, audit evidence, upgrade ownership, observability and recovery procedures.
Total cost
Model licensing, infrastructure, support, data transfer and operator time at the expected scale.
Frequently asked questions
Is Datadog or Grafana open source?
Datadog is not open source (proprietary or source-available). Grafana is open source.
What is the pricing model for Datadog vs Grafana?
Datadog uses a paid pricing model. Grafana uses a freemium pricing model. Confirm current rates with each vendor before deciding.
Can Datadog and Grafana be self-hosted?
Datadog is not offered as a self-hosted option. Grafana is self-hostable.