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Datadog vs Grafana

Offers open-source dashboards and metric visualisation, but does not include managed log or security services.

Which to pick

Pick Datadog if you want…

  • Unified observability and security for cloud apps
  • Integrated monitoring & security
  • Integrations with Amazon Web Services, GitHub or GitLab (on Datadog's list, not Grafana's)

Pick Grafana if you want…

  • Open-standard full-stack observability
  • Dashboarding and metric visualisation
  • Open-source code (grafana/grafana on GitHub, AGPL-3.0 license)
  • Integrations with Prometheus or Slack (on Grafana's list, not Datadog's)

Datadog is a commercial monitoring platform with built-in security features, whereas Grafana focuses on open-source standards and extensible plugins.

Side by side

What it is
Datadog:Datadog is a cloud monitoring and security platform that provides observability across infrastructure, applications, logs, and security.
Grafana:Grafana Cloud is an open-source-based observability platform that unifies metrics, logs, traces, profiles and business data.
Best for
Datadog:Unified observability and security for cloud apps
Grafana:Open-standard full-stack observability
Who it’s for
Datadog:Developers, IT ops, and security teams managing cloud-native workloads.
Grafana:Developers, SREs and teams needing full-stack observability and cost-optimized telemetry.
Pricing
Datadog:Freemium
Grafana:Freemium
Plans
Datadog:AI Credits $500 per 500 credits per month · Code Coverage $8 per committer per month · Log Management $0.10 per GB ingested per month
Grafana:Free $0 · Pro $19 per month + usage · Enterprise $25,000 per year spend commit
Open source
Datadog:—
Grafana:Yes, 77,033 GitHub stars
Works with
Datadog:Amazon Web Services, Kubernetes, OpenTelemetry, GitHub, GitLab, Azure DevOps
Grafana:OpenTelemetry, Prometheus, Kubernetes, Slack

Datadog features

  • Infrastructure Monitoring. Collects metrics, custom metrics, and alerts from servers, containers, and cloud services.
  • Application Performance Monitoring. Tracks request latency, traces, and provides continuous profiling.
  • Log Management. Ingests, parses, enriches and stores logs with flexible retention and alerting.
  • Security Suite. Offers code security, vulnerability management, cloud security posture and SIEM.
  • Synthetic & Real User Monitoring. Proactively tests user journeys and captures real-user performance data.
  • AI-powered Bits Suite. AI agents for chat, investigation, code fixes, and custom workflow automation.

Grafana features

  • AI Assistant. Ask natural-language questions, build dashboards and run investigations directly from Grafana, Slack or the terminal.
  • Adaptive Telemetry. Automatically identifies low-value data and aggregates it, cutting telemetry spend by up to 80%.
  • Full-stack observability. Unified view of metrics, logs, traces, profiles and synthetic monitoring on a single map.
  • OpenTelemetry-native. Native support for OpenTelemetry and Prometheus with hundreds of plugins and integrations.
  • Cost Management. Pay-as-you-go pricing with volume-based discounts and a free tier that includes all services.
  • Compliance & Security. FedRAMP, NIST-100, PCI-DSS, GDPR and SOC-2 certifications for enterprise use.

Datadog vs Grafana FAQ

Is Datadog or Grafana free?+

Datadog has a free plan and paid plans. Grafana has a free plan and paid plans.

Is Datadog or Grafana open source?+

Grafana is open source (grafana/grafana on GitHub, AGPL-3.0 license). DevHunt has no public source repository on record for Datadog.

Do Datadog and Grafana integrate with the same tools?+

Partly. Both list Kubernetes and OpenTelemetry. Datadog also lists Amazon Web Services, GitHub, GitLab and Azure DevOps; Grafana also lists Prometheus and Slack.

On DevHunt

Based on each tool's website and DevHunt data. Details may change; check the official sites.