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Datadog vs New Relic

Side-by-side comparison of features, pricing, ratings, and alternatives.

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Datadog
DatadogUnified monitoring, tracing, and log management for modern cloud applications.
New Relic
New RelicFull-stack observability platform for modern cloud applications
Overview
Description

Datadog is a cloud‑based observability platform that provides monitoring of servers, containers, databases, and services. It aggregates metrics, traces, and logs into a single pane. The service offers real‑time dashboards, AI‑driven alerts, and integrations with major cloud providers, helping teams troubleshoot performance issues and ensure reliability.

New Relic provides a unified view of application performance, infrastructure health, logs, and user experience. It helps teams detect issues fast, understand root causes, and improve reliability across distributed systems. The platform integrates with major cloud providers, container orchestrators, and development tools, offering real‑time metrics, distributed tracing, and AI‑driven anomaly detection to support proactive monitoring and rapid incident response.

Pricing
Freemium
Freemium
Category
Monitoring & Logging
Monitoring & Logging
Best for
Enterprises and DevOps teams
Enterprises and DevOps teams
Specifications
deployment
Cloud/SaaS
Cloud/SaaS
open source
No
Yes
api available
Yes
Yes
support options
Email, Live Chat, Phone, 24/7
Email, Live Chat, Community Forum
key integrations
AWS, Azure, GCP, Kubernetes, Slack, GitHub
AWS, Azure, GCP, Kubernetes, Slack, GitHub
Pros & Cons
Pros
  • Comprehensive integration library
  • Unified view of metrics, logs, and traces
  • Scalable SaaS architecture with minimal maintenance
  • Advanced AI alerts reduce noise
  • Unified view of metrics, logs, and traces
  • Strong integrations with major cloud platforms
  • AI‑powered anomaly detection reduces noise
  • Generous free tier for small teams
Cons
  • Pricing can become expensive at scale
  • Learning curve for complex dashboard configurations
  • Limited on‑premises deployment options
  • Advanced features can become costly at scale
  • Steeper learning curve for complex configurations
  • Custom query language may require training
Community & Metrics
Upvotes
0
0
User rating
Not enough data
Not enough data

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OpenObserve
OpenObserve

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SigNoz
SigNoz

Open-source observability platform for teams and AI agents

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New Relic
New Relic

Full-stack observability platform for modern cloud applications

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Zabbix
Zabbix

Enterprise‑grade open‑source monitoring for networks, servers and applications

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Alternatives to New Relic

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Jaeger
Jaeger

Distributed Tracing Platform

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Datadog
Datadog

Unified monitoring, tracing, and log management for modern cloud applications.

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Middleware
Middleware

Full-stack observability with an AI SRE agent that detects, diagnoses, and fixes production issues automatically.

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Honeycomb
Honeycomb

Observability platform for modern distributed systems

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The Verdict

AI-generated from listing data

Both offer full‑stack observability with free tiers, but New Relic is open‑source and slightly cheaper at scale, while Datadog provides richer support and a larger integration library.

Key differences

  • •Open source: New Relic is open source; Datadog is not.
  • •Support: Datadog includes phone and 24/7 support; New Relic offers only email, live chat, and community forum.
  • •Integration breadth: Datadog claims metrics from over 450 integrations versus New Relic’s unspecified count.
  • •Learning curve: New Relic’s custom query language may require training; Datadog’s dashboards also have a learning curve but no specific query language mentioned.
  • •Pricing scalability: Both are freemium, but both note that advanced features can become costly at scale; no concrete price differences are given.
DimensionWinner

Pricing & value

Both use a freemium model and warn that costs rise with advanced usage; no price details to differentiate.

Tie

Ease of use / learning curve

New Relic mentions a steeper learning curve for complex configs and a custom query language requiring training.

New Relic

Features & depth

Both provide metrics, logs, traces, AI anomaly detection, and custom dashboards; feature lists are comparable.

Tie

Integrations & ecosystem

Datadog explicitly cites over 450 integrations; New Relic’s integration count is not specified.

Datadog

Collaboration

Both integrate with Slack and PagerDuty for alerts and incident management.

Tie

Scalability

Both are cloud SaaS platforms designed for enterprise‑scale workloads.

Tie

Support

Datadog offers phone and 24/7 support; New Relic provides only email, live chat, and community forum.

Datadog

Choose Datadog if…

Teams needing extensive integrations and round‑the‑clock phone support, and willing to pay for premium services.

Choose New Relic if…

Enterprises that value open‑source tooling, prefer a generous free tier, and can manage with community support.

Common questions

Is there a cost difference for large‑scale deployments?

Both vendors state that advanced features become costly at scale; no specific pricing details are provided.

Which platform offers more integrations out of the box?

Datadog lists over 450 integrations; New Relic’s integration count is not specified.

What support options are available for critical incidents?

Datadog provides email, live chat, phone, and 24/7 support; New Relic offers email, live chat, and a community forum.