- Engineering teams wanting one broad observability and security platform
- Organizations that value a large integration catalog and managed cloud service
Comparison / Observability
Datadog
vs New Relic
Both address observability, but their audiences and operating emphasis differ. This page provides decision criteria—not a winner.
Typical audience
The reviewed official materials describe the intended teams and organization profiles; deployment fit still depends on operating model and scale.
The reviewed official materials describe the intended teams and organization profiles; deployment fit still depends on operating model and scale.
Core use cases
Official product materials document the principal workflows summarized in the use-case list.
Official product materials document the principal workflows summarized in the use-case list.
Product emphasis
The vendor positions the product around the workflow and outcomes stated in the product summary.
The vendor positions the product around the workflow and outcomes stated in the product summary.
Telemetry coverage
Datadog covers infrastructure, applications, logs, traces and related monitoring signals.
New Relic lists APM, infrastructure, logs, error tracking, digital experience and AIOps capabilities.
SourcesNew Relic pricing ↗
Application monitoring
Datadog pricing includes APM and distributed tracing options for application monitoring.
SourcesDatadog pricing ↗
The platform includes APM with distributed tracing and error analysis capabilities.
SourcesNew Relic pricing ↗
Infrastructure monitoring
Datadog provides infrastructure and cloud monitoring capabilities across its integration ecosystem.
Infrastructure, cloud, container or host monitoring is part of the documented platform scope.
Open standards
Datadog documents OpenTelemetry integrations and support for importing telemetry.
New Relic supports OpenTelemetry SDKs and presents an OpenTelemetry-aligned backend.
Analysis workflow
The product provides queries, dashboards, correlations or exploratory workflows for investigation.
The product provides queries, dashboards, correlations or exploratory workflows for investigation.
Alerting and response
Alerting, incident notification or response integrations are documented, with configuration required.
Alerting, incident notification or response integrations are documented, with configuration required.
Deployment and governance
Collection, access, retention and administration options vary by deployment and plan and require architecture-specific validation.
Collection, access, retention and administration options vary by deployment and plan and require architecture-specific validation.
Commercial model
Official pricing material documents tier, seat, usage, commitment or quote-based dimensions; exact totals require a current quote or calculator check.
New Relic describes user-plus-data or compute-plus-data pricing, with a free data allowance and tiered user types.
SourcesNew Relic pricing ↗
Decision guidance
Choose by operating context.
- Teams wanting broad observability capabilities with flexible user and data pricing
- Organizations adopting OpenTelemetry while retaining a unified analysis backend
- your required region, edition or workflow is not explicitly supported in the cited public evidence for either Datadog or New Relic.
- you need a decision based on hands-on testing, implementation effort, negotiated pricing or contractual terms rather than documented product scope.
Limitations
What this comparison does not settle.
This comparison uses dated public documentation and does not include hands-on product testing, implementation benchmarking or customer-environment validation.
Pricing, plan entitlements, regional availability and integration behavior can change and must be reconfirmed with both vendors for the buyer’s edition and location.
Use this comparison when
Your first decision is audience and workflow fit.
Validate pricing, integrations, regional availability and contractual terms directly with each provider; these change faster than the index’s stable product facts.