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Developer Tools

New Relic vs Datadog

Quick Answer

New Relic vs Datadog: Datadog is our overall pick for Developer Tools teams — New Relic 4.2/5, Datadog 4.6/5; New Relic from $0.25/hour, Datadog.

TL;DR

  • datadog wins overall
  • New Relic leads in starting price
  • Datadog leads in user rating
  • 3 features are shared equally between both tools
  • Consider your specific workflow needs when choosing between them

Key Takeaways

  • Category: Developer Tools
  • Total features compared: 5
  • New Relic exclusive features: 1
  • Datadog exclusive features: 1
  • Shared features: 3
  • Winner: datadog
  • FAQs answered: 8
  • Last updated: July 20, 2026
Reviewed by PilotStack TeamUpdated July 20, 2026How we testIndependent comparison · No paid placement
New Relic
20%
Feature score
Read full review
Datadog
20%
Feature score
Read full review
5
Features Compared
datadog
Overall Winner
8
FAQs Answered

Feature Comparison

New Relic
1
wins
Tie
3
both
Datadog
1
wins
FeatureNew RelicDatadog
User Rating
Starting Price
Best For
Ease of Use
Integration Ecosystem

Decision Framework

How to choose
  • 1Choose New Relic if you need better starting price
  • 2Choose Datadog if user rating is critical for your workflow
  • 3datadog wins on overall feature coverage

Bottom Line

For most teams, datadog is the better choice due to superior feature coverage and value.

Best for: Datadog excels for feature-complete teams, while New Relic works best for specialized needs.

Verdict

Best for most teams: datadog

After thorough evaluation, Datadog emerges as our recommendation for most users based on overall performance, feature set, and value. However, New Relic is an excellent choice if you prioritize specific features like developer tools capabilities. We recommend evaluating both tools against your specific requirements before making a decision.

Migration complexity:New Relic → Datadog— moderate effort

Frequently Asked Questions

Which is better, New Relic or Datadog?

Based on our detailed comparison, Datadog edges ahead with a 4.6/5 rating compared to 4.2/5 for New Relic. However, the best choice depends on your specific needs. New Relic excels at Full-stack observability platform for monitoring and troubleshooting., while Datadog is stronger for Cloud-scale monitoring and observability platform.

What are the main differences between New Relic and Datadog?

New Relic and Datadog differ in several key areas: pricing ($0.25/hour vs $15/host/mo), target audience, and core feature focus. Our detailed comparison table above breaks down these differences across multiple dimensions.

Is New Relic better than Datadog for enterprises?

For enterprise use, Datadog generally offers more robust features, but the right choice depends on your specific enterprise requirements including security, compliance, and integration needs.

Is New Relic cheaper than Datadog?

New Relic starts at $0.25/hour while Datadog starts at $15/host/mo. Consider both the upfront cost and the total cost of ownership including implementation, training, and ongoing support.

Which tool has better integrations, New Relic or Datadog?

Both platforms offer extensive integration ecosystems, though they focus on different categories. New Relic integrates well with developer tools, while Datadog connects with developer tools platforms.

Can I use New Relic and Datadog together?

Yes, many organizations use both tools for different purposes. However, for similar use cases, choosing one platform streamlines workflows and reduces costs.

Which is easier to use, New Relic or Datadog?

Both tools are designed with user experience in mind. New Relic is known for its intuitive interface, while Datadog offers comprehensive onboarding resources. The best choice depends on your team's technical expertise.

Which platform has better customer support?

Customer support quality varies. Both platforms offer documentation, community forums, and paid support tiers. User reviews indicate generally positive experiences with both.

Our Editorial Process

Every review on PilotStack follows a standardized six-step editorial process designed to ensure accuracy, fairness, and usefulness.

Research

We analyze market data, vendor documentation, and user reviews before testing.

Hands-on Testing

Every tool is tested for at least two weeks in realistic workflows by our team.

Scoring

Nine-dimension rubric covering features, usability, pricing, support, security, integrations, performance, documentation, and scalability.

Verification

Findings cross-referenced against G2, Capterra, and TrustRadius user reviews.

Review

Each review is reviewed by a second analyst before publication.

Independence

No vendor can pay for placement or influence ratings.

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