Datadog Mobile Real User Monitoring
LeaderDatadog provides cloud-scale monitoring and security for metrics, traces and logs in one unified platform.
Est 2010|Valuation $91.4B|Raised $795.9M
Datadog provides cloud-scale monitoring and security for metrics, traces and logs in one unified platform.
Published Sep 26, 2026
| Starting Price | Published usage-based session pricing with modular add-ons (for example, replay sold in published per-session increments). RUM pricing and entitlements vary by plan and contract. | Usage or subscription models; DEM/RUM is typically included via platform subscription or rate card constructs. | Pricing models include user-based and telemetry/compute-based constructs; DEM capabilities are included in platform editions. |
| Typical fit | Organizations seeking telemetry correlation across infrastructure, APM, logs, and RUM, and that require multi-platform SDK support. | Enterprises seeking a platform with automation and AI-driven operational features across the stack. | Organizations seeking a platform that bundles multiple capabilities and offers flexible pricing constructs. |
| Key strengths | Correlation across telemetry types (RUM, traces, logs) and broad SDK/platform support. | Broad platform automation and full-stack visibility in enterprise environments. | Bundled platform capabilities with multiple pricing models; varies by feature set. |
| Key weaknesses | Metering and modular pricing can be complex and require governance; potential for increased costs without controls. | Pricing constructs and minimums can be complex in some programs; learning curve for large deployments. | Mobile-specific depth varies; may require additional tooling for deep mobile UX workflows. |
Datadog sells RUM as a modular component, which offers selection flexibility but increases forecasting complexity as adjacent modules are added. Dynatrace positions DEM/RUM within its platform subscription constructs; some buyers experience complexity in pricing or minimums with Dynatrace as well. New Relic provides a different packaging narrative that may be preferable for organizations that want broader inclusion of capabilities under a single pricing model.
Datadog and specialist tools (for example, Sentry) often coexist in organizations: Datadog is used for broader observability correlation while specialist tools are used for focused error workflows or qualitative mobile UX analysis.