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Datadog vs Grafana

A detailed comparison to help you choose the right tool for your needs.

Datadog logo

Datadog

Analytics

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VS
Grafana logo

Grafana

Analytics

Try Grafana

A
About Datadog

Datadog is a cloud-based monitoring and analytics platform that provides full-stack observability across infrastructure, applications, logs, and more. It's designed for DevOps engineers, SREs, and IT operations teams who need unified visibility into complex, distributed systems. The platform stands out for its ability to correlate metrics, traces, and logs in a single pane of glass, making it easier to detect and resolve issues quickly. With over 750 integrations, Datadog works seamlessly across virtually any tech stack, though its breadth of features comes with a learning curve and costs that can escalate quickly at scale.

B
About Grafana

Grafana is an open-source data visualization and observability platform that allows users to query, visualize, alert on, and explore metrics, logs, and traces from a wide range of data sources. It connects to databases like Prometheus, InfluxDB, Elasticsearch, PostgreSQL, and many others through a plugin-based architecture, making it extremely flexible. Originally built for infrastructure monitoring, it has grown into a general-purpose analytics and dashboarding tool used by DevOps teams, SREs, data engineers, and business analysts. Its strength lies in its ability to unify disparate data sources into a single, customizable dashboard with real-time updates. Grafana is maintained by Grafana Labs and has a large, active open-source community contributing plugins and data source connectors.

Pricing Comparison

Tool
Datadog
Grafana
Price
Free — From $15/host/mo
Free — From $49/user/mo
Category
Analytics
Analytics
Rating
4.4 (332)
4.3 (24)
Free Plan
Yes
Yes
Integrations
8+ apps
8+ apps
Founded
2010
2014

Feature Comparison

Feature
Datadog
Grafana
Real-time performance monitoring
Log management and analysis
Infrastructure metrics visualization
Application performance monitoring
Customizable dashboards and alerts
Customizable dashboards with various visualizations
Support for multiple data sources
Real-time monitoring and alerting
Built-in query editor for data manipulation
Annotations for historical context on graphs
User access controls and permissions management

Choose Datadog

Datadog is a powerful analytics tool for monitoring cloud applications and infrastructure.

Try Datadog Free

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Choose Grafana

Grafana is an open-source analytics and monitoring platform.

Try Grafana Free

Read full review

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Score Comparison

Ease of Use
7.0
7.0
Features
9.0
9.0
Pricing
6.0
8.0
Support
8.0
7.0
Integrations
9.0
9.0
Overall
7.8
8.0
DatadogGrafana

Our Verdict

Datadog

You're managing cloud applications and need robust monitoring for your infrastructure.

Better support
GrafanaWinner

You need a free, customizable monitoring solution for larger engineering teams focused on performance metrics.

More affordable

Datadog vs Grafana: The Bottom Line

Both Datadog and Grafana are strong analytics tools, but they serve different needs. Datadog has a higher user rating (4.4 vs 4.3).

Still unsure? Check the full reviews for Datadog and Grafana, explore Datadog alternatives, or use our AI search to describe exactly what you need.

Frequently Asked Questions

Is Datadog or Grafana better?

It depends on your needs. Datadog (4.4★) is free to start, while Grafana (4.3★) is free to start. Datadog has a higher user rating.

Can I switch from Datadog to Grafana?

Yes. Most SaaS tools offer data export features. Check if Grafana has a migration guide or import tool specifically for Datadog users. Many offer onboarding assistance for switchers.

Which is cheaper, Datadog or Grafana?

Both Datadog and Grafana start at $0/mo.

What are the main differences between Datadog and Grafana?

Datadog focuses on real-time performance monitoring and log management and analysis, while Grafana emphasizes customizable dashboards with various visualizations and support for multiple data sources. Both are in the Analytics category but serve slightly different use cases.