New Relic

Name: New Relic
Brand: New Relic

Leader

Data for Engineers

Est 2007|Valuation $6.1B|Raised $385.3M|94 Ref Customers

LinkedIn 188K|Web traffic 1.3M|FTEs 3,034|HQ San Francisco, California, US

MarketsInfrastructure Monitoring Observability Platform Application Performance Monitoring (APM)

01Competitive Landscape

Narrative analysis

**New Relic vs Datadog** - New Relic publishes ingest pricing and provides a free tier with included ingest. Datadog is often perceived in the market as a premium offering with a broad set of integrations; buyers commonly compare the two on price and feature parity. **New Relic vs Dynatrace** - Dynatrace emphasizes automated discovery, topology mapping, and AI-driven RCA, and in some messaging contrasts its approach to per-user licensing. This directly addresses a common New Relic concern around per-user access costs. **OpenTelemetry posture as a differentiator** - New Relic supports native OTLP ingest and offers a distribution of the OpenTelemetry Collector. Buyers should verify whether parity exists between proprietary agents and OpenTelemetry-based ingest for the specific features required (service maps, errors inbox, advanced APM features).

	New Relic	Datadog	Dynatrace
Starting Price	Free tier with a modest included ingest allocation and limited full-platform seats; paid plans bill for ingest on a tiered, per-volume basis	Varies by product; pricing has multiple billable dimensions	Enterprise-oriented pricing; often sold via annual commitments and module selection
Suitable For	Teams seeking a broad, integrated platform with a flexible query language (NRQL) and a substantial free tier	Cloud-native teams that prioritize a large integration ecosystem and polished SaaS workflows	Large enterprises seeking automated discovery, dependency mapping, and AI-assisted root-cause workflows
Key Strength	Public ingest pricing bands and a flexible query language; broad platform scope	Wide integration ecosystem and a mature SaaS experience	Automated instrumentation and dependency mapping; strong topology and AI-runbook features
Key Weakness	Per-user licensing for full platform access can increase costs; learning curve; variable ingest cost	Can be costly and complex to price across products	Proprietary agent approach and enterprise complexity; cost

01Competitive Landscape

Narrative analysis

New Relic vs Datadog

New Relic publishes ingest pricing and provides a free tier with included ingest. Datadog is often perceived in the market as a premium offering with a broad set of integrations; buyers commonly compare the two on price and feature parity.

New Relic vs Dynatrace

Dynatrace emphasizes automated discovery, topology mapping, and AI-driven RCA, and in some messaging contrasts its approach to per-user licensing. This directly addresses a common New Relic concern around per-user access costs.

OpenTelemetry posture as a differentiator

New Relic supports native OTLP ingest and offers a distribution of the OpenTelemetry Collector. Buyers should verify whether parity exists between proprietary agents and OpenTelemetry-based ingest for the specific features required (service maps, errors inbox, advanced APM features).

	New Relic	Datadog	Dynatrace
Starting Price	Free tier with a modest included ingest allocation and limited full-platform seats; paid plans bill for ingest on a tiered, per-volume basis	Varies by product; pricing has multiple billable dimensions	Enterprise-oriented pricing; often sold via annual commitments and module selection
Suitable For	Teams seeking a broad, integrated platform with a flexible query language (NRQL) and a substantial free tier	Cloud-native teams that prioritize a large integration ecosystem and polished SaaS workflows	Large enterprises seeking automated discovery, dependency mapping, and AI-assisted root-cause workflows
Key Strength	Public ingest pricing bands and a flexible query language; broad platform scope	Wide integration ecosystem and a mature SaaS experience	Automated instrumentation and dependency mapping; strong topology and AI-runbook features
Key Weakness	Per-user licensing for full platform access can increase costs; learning curve; variable ingest cost	Can be costly and complex to price across products	Proprietary agent approach and enterprise complexity; cost