New Relic Browser Monitoring

Name: New Relic Browser Monitoring
Brand: New Relic
Rating: 4.5 (2558 reviews)

Leader

Data for Engineers

Est 2007|Valuation $6.1B|Raised $385.3M

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

MarketsObservability Platform Application Performance Monitoring (APM)

01Competitive Landscape

Narrative analysis

Feature differentiation: - New Relic combines DEM features with full-stack telemetry, including session replay and UI workflows that link frontend performance signals to backend traces. - Datadog and Dynatrace offer DEM, synthetics, and session replay; vendor selection often depends on existing toolchains, procurement models, and workflow preferences. Pricing comparison (material differences): - Dynatrace publishes per-session pricing information for RUM. - Datadog’s documentation describes session-based billing; actual costs depend on plan and additional feature usage. - New Relic’s model is platform-centric (users + data/telemetry), which can be advantageous for broad internal adoption but can be harder to model without careful ingest forecasting. Customer commentary comparing tools: - Community discussions commonly note that all major vendors can be costly; differences typically relate to which usage dimension drives costs (sessions vs telemetry ingest vs users/hosts). Market share/adoption trends: - Third-party web-detection panels publish estimates for browser monitoring presence, but these should not be treated as authoritative for procurement decisions.

	New Relic Browser Monitoring	Datadog RUM	Dynatrace RUM
Starting price model	Platform-centric pricing: user-based access plus telemetry/data costs (totals vary by ingest/retention/edition)	Session-based billing by number of sessions ingested (rate varies by plan/contract)	Published per-session pricing information available from the vendor
Suitable for	Teams seeking integrated full-stack observability and DEM within a single platform	Teams standardized on Datadog wanting tight integration across Datadog products	Enterprises seeking integrated DEM with published per-session pricing and the full Dynatrace suite
Noted strengths	Multiple installation methods (snippet, npm, APM-assisted, NerdGraph) and integration with New Relic platform; session replay workflows; Core Web Vitals integration in the UI	Broad integrations and clear session-based billing model; mature ecosystem	Explicit published per-session pricing for RUM; enterprise DEM capabilities and synthetic monitoring integration
Noted weaknesses	Cost predictability and governance complexity; seat/usage governance can be challenging	Pricing can accumulate across modules; potential for higher overall cost depending on feature set	Perception of premium pricing and enterprise-focused sales motion (may include contractual minimums)

01Competitive Landscape

Narrative analysis

Feature differentiation:

New Relic combines DEM features with full-stack telemetry, including session replay and UI workflows that link frontend performance signals to backend traces.
Datadog and Dynatrace offer DEM, synthetics, and session replay; vendor selection often depends on existing toolchains, procurement models, and workflow preferences.

Pricing comparison (material differences):

Dynatrace publishes per-session pricing information for RUM.
Datadog’s documentation describes session-based billing; actual costs depend on plan and additional feature usage.
New Relic’s model is platform-centric (users + data/telemetry), which can be advantageous for broad internal adoption but can be harder to model without careful ingest forecasting.

Customer commentary comparing tools:

Community discussions commonly note that all major vendors can be costly; differences typically relate to which usage dimension drives costs (sessions vs telemetry ingest vs users/hosts).

Market share/adoption trends:

Third-party web-detection panels publish estimates for browser monitoring presence, but these should not be treated as authoritative for procurement decisions.

	New Relic Browser Monitoring	Datadog RUM	Dynatrace RUM
Starting price model	Platform-centric pricing: user-based access plus telemetry/data costs (totals vary by ingest/retention/edition)	Session-based billing by number of sessions ingested (rate varies by plan/contract)	Published per-session pricing information available from the vendor
Suitable for	Teams seeking integrated full-stack observability and DEM within a single platform	Teams standardized on Datadog wanting tight integration across Datadog products	Enterprises seeking integrated DEM with published per-session pricing and the full Dynatrace suite
Noted strengths	Multiple installation methods (snippet, npm, APM-assisted, NerdGraph) and integration with New Relic platform; session replay workflows; Core Web Vitals integration in the UI	Broad integrations and clear session-based billing model; mature ecosystem	Explicit published per-session pricing for RUM; enterprise DEM capabilities and synthetic monitoring integration
Noted weaknesses	Cost predictability and governance complexity; seat/usage governance can be challenging	Pricing can accumulate across modules; potential for higher overall cost depending on feature set	Perception of premium pricing and enterprise-focused sales motion (may include contractual minimums)