Datadog vs New Relic

Focuses on full-stack observability with a strong emphasis on open-source integrations.

DatadogMonitoring and security platform for cloud apps

New RelicObservability platform for apps and infrastructure

Which to pick

Pick Datadog if you want…

Unified observability and security for cloud apps
Comprehensive cloud monitoring
Integrations with Amazon Web Services, Kubernetes or GitHub (on Datadog's list, not New Relic's)

Pick New Relic if you want…

AI-aware full-stack observability
Open-source observability platform
Integrations with Prometheus, StatsD or eBPF (on New Relic's list, not Datadog's)

Datadog focuses on monitoring and security with a larger emphasis on cloud-native metrics, while New Relic adds AI-driven root-cause analysis and AI model monitoring.

Side by side

What it is: Datadog:Datadog is a cloud monitoring and security platform that provides observability across infrastructure, applications, logs, and security.; New Relic:New Relic is an AI-powered observability platform that correlates telemetry across apps, infrastructure, and AI systems.
Best for: Datadog:Unified observability and security for cloud apps; New Relic:AI-aware full-stack observability
Who it’s for: Datadog:Developers, IT ops, and security teams managing cloud-native workloads.; New Relic:Engineering, SRE, DevOps, and product teams needing full-stack monitoring.
Pricing: Datadog:Freemium; New Relic: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; New Relic:Free $0
Works with: Datadog:Amazon Web Services, Kubernetes, OpenTelemetry, GitHub, GitLab, Azure DevOps; New Relic:OpenTelemetry, Prometheus, StatsD, eBPF, 800+ pre-built integrations

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.

New Relic features

AI-driven root cause analysis. Automatically identifies the cause of incidents across services and AI agents.
Unified data layer. Collects logs, metrics, traces, and digital experience data in one place.
Infrastructure & Kubernetes monitoring. Provides real-time health views for hosts, containers, and K8s clusters.
Digital experience monitoring. Session replay, browser, mobile, and synthetic checks to track user friction.
AI model monitoring. Tracks model performance, cost, and hallucinations with agentic tracing.
Security & compliance. Vulnerability management, FedRAMP/HIPAA eligibility, and log obfuscation.
OpenTelemetry support. Ingests data via OpenTelemetry, Prometheus, StatsD, eBPF and other standards.
Extensible integrations. 800+ pre-built integrations for cloud, SaaS, and on-prem services.

Datadog vs New Relic FAQ

Is Datadog or New Relic free?+

Datadog has a free plan and paid plans. New Relic has a free plan and paid plans.

Do Datadog and New Relic integrate with the same tools?+

Partly. Both list OpenTelemetry. Datadog also lists Amazon Web Services, Kubernetes, GitHub, GitLab and 1 more; New Relic also lists Prometheus, StatsD, eBPF and 800+ pre-built integrations.

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