Datadog vs New Relic Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

Datadog New Relic
Starts at $18/mo Custom
Number of plans 3 4
Free plan
Free trial
Pricing model usage-based usage-based

Free

$0/mo

Pro

$18/mo

Enterprise

$27/mo

Free

$0/mo
  • 100 GB data ingest
  • Automatic logs obfuscation
  • Unlimited basic
  • One free full platform user
  • Access to 50+ capabilities
  • Data retention

Standard

Custom
  • Limited to 5 full platform users
  • Ticketed support availability
  • 2 business days support response SLA
  • SAML single sign-on

Pro

Custom
  • Unlimited full platform users.
  • Commitment options
  • 2-hour critical initial support response SLA
  • Data Plus eligibility
  • Optional: Full consumption pricing with no user licenses

Enterprise

Custom
  • FedRAMP Moderate and HIPAA eligibility with Data Plus
  • Priority ticket routing
  • 1-hour critical initial support response SLA
  • Optional: Full consumption pricing with no user licenses

Datadog vs New Relic FAQ

Which one is cheaper?
One or both use custom pricing, so it depends on your specific needs.
Can I use either one for free?
Both offer free plans, so you can try each without paying. Start with whichever fits your workflow better and upgrade when you hit the limits.
How do they charge?
Both use a usage-based model, so the comparison is straightforward — it comes down to features and limits at each price point.
Which one is a better deal?
Depends on what you need. Datadog: At $18-27/host, Datadog sits firmly in the premium tier of observability — more expensive than open-source stacks like Grafana + Prometheus, and pricier than New Relic's per-user model for many team sizes. They're not chasing budget buyers; they're targeting mid-market and enterprise engineering orgs that want a single pane of glass and are willing to pay for it. New Relic: Positioned in the middle of the observability market — not as cheap as self-hosted options like Grafana/Prometheus, but more accessible than Datadog's per-host model at scale for data-heavy workloads. They're clearly targeting mid-market engineering teams who want a full-stack platform without Datadog's unpredictable seat-plus-host billing.

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