Datadog vs New Relic
Two DevOps AI tools, side by side. Both are checked against their own published sites at time of listing. This comparison is editorially independent — neither tool has reviewed or endorsed this page. Here is what each does well and who it is for, so you can choose what fits.
Datadog
www.datadoghq.com
AI-powered observability and security.
Best forTeams wanting end-to-end cloud observability with AI agents for investigation and remediation.
PricingFreemium, from $15/host/mo · current pricing
What it doesCloud observability platform spanning infrastructure, APM, logs, security, digital experience, and CI/CD visibility. Its Bits AI agents chat, investigate, and remediate issues, while Watchdog provides automated anomaly detection and investigation.
Capabilities
Visit Datadog →- Bits AI investigation agents
- Watchdog anomaly detection
- Infrastructure and APM monitoring
- Log management
- CI/CD visibility
- Kubernetes monitoring
New Relic
newrelic.com
Intelligent observability that predicts and acts.
Best forTeams wanting full-platform observability with a generous free tier and an AI SRE agent.
PricingFreemium, from $10/user/mo · current pricing
What it doesObservability platform correlating metrics, logs, and traces across applications, infrastructure, and AI systems. New Relic AI is a context-aware assistant, and the SRE Agent moves beyond assistance toward automated remediation for incident response.
Capabilities
Visit New Relic →- New Relic AI assistant
- SRE Agent for automated remediation
- APM and infrastructure monitoring
- Logs, metrics, and traces correlation
- AI and agentic monitoring
- 800-plus integrations
How to choose
Choose Datadog if you are teams wanting end-to-end cloud observability with ai agents for investigation and remediation. Choose New Relic if you are teams wanting full-platform observability with a generous free tier and an ai sre agent. Both sit in DevOps; the right pick depends on your exact workflow and budget.
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Data verified 2026-06 against each tool's live site.Spot an error? Let us know →