Bugsnag is a specialized error monitoring and crash reporting platform focused on application stability, while Datadog is a comprehensive observability platform covering metrics, logs, traces, and infrastructure monitoring. Datadog offers broader monitoring capabilities across the entire stack, whereas Bugsnag excels in real-time error detection and mobile crash analytics.
Bugsnag vs Datadog — Side-by-side comparison on A Versus B
Choose Bugsnag if you need specialized, rapid error monitoring with strong mobile crash reporting and prefer a simpler, faster onboarding for applications. Choose Datadog if you require comprehensive observability across infrastructure, logs, metrics, traces, and application performance—and have multiple systems to monitor across your entire stack.
Specialized error monitoring and mobile crash reporting platform for application stability.
Comprehensive cloud monitoring and observability platform covering infrastructure, logs, metrics, traces, and application performance.
Structured comparison data for Bugsnag vs Datadog with 159 attributes.
APM (Application Performance Monitoring)
Default Data Retention (included in pricing)
Typical Enterprise Annual Cost (1000 hosts)
Bugsnag vs Datadog — Attribute Category Vocabulary
Taxonomy of attribute categories used to classify comparison data for Bugsnag vs Datadog.
Which tool is better for mobile app monitoring?
Bugsnag is superior for mobile-specific crash monitoring. It provides native iOS and Android SDKs with automatic symbolication, real-time crash detection, and mobile-specific features like session replay. Datadog offers mobile monitoring through Real User Monitoring (RUM), but it's less specialized for native crash reporting and crash symbolication.
Can Datadog replace Bugsnag, or do I need both?
Datadog can partially replace Bugsnag for error monitoring, but many teams use both: Bugsnag for specialized mobile crash detection and Datadog for full-stack infrastructure and log monitoring. If you're infrastructure-heavy and need comprehensive observability, Datadog alone may suffice. If mobile crashes are critical, Bugsnag remains the more specialized choice.
Bugsnag uses transparent usage-based pricing starting at $49/month for 1M events, making it cost-predictable for error monitoring. Datadog's pricing is more complex and scales with the volume of logs, metrics, and traces ingested, often resulting in higher enterprise costs ($10k-$50k+ annually) but covers more data types. For error-only monitoring, Bugsnag is typically cheaper; for comprehensive observability, Datadog's all-in-one approach may reduce total tooling costs.
Which has a faster implementation for a startup?
Bugsnag wins for startup speed. Setup takes 5-10 minutes with minimal configuration, making it ideal for quick deployment. Datadog requires more initial setup (15-30+ minutes) and planning to configure properly across infrastructure, logs, and metrics. For rapid time-to-value, Bugsnag is the faster choice.
What's the key differentiator in ecosystem integrations?
Datadog's 600+ integrations significantly exceed Bugsnag's 120+, covering monitoring, CI/CD, incident management, and alerting platforms. Bugsnag focuses on error-specific integrations (Slack, Jira, GitHub). If you need deep cross-platform automation and data flow, Datadog's ecosystem is substantially more robust.