Sentry vs Datadog
Side-by-side comparison of AI visibility scores, market position, and capabilities
Open-source error tracking platform used by 100K+ organizations; production exception capture with stack traces expanding into performance monitoring and session replay.
About
Sentry is an open-source application monitoring and error tracking platform used by over 100,000 organizations to detect, diagnose, and resolve software errors in production — automatically capturing exceptions, performance traces, and user session context from web, mobile, and backend applications. Founded in 2012 in San Francisco by David Cramer and Chris Jennings, Sentry has raised approximately $217 million and generates significant revenue from its Sentry cloud hosted service, while maintaining an open-source version that has driven massive developer adoption.
Cloud observability leader with $2.68B ARR; 750+ integrations; expanding into AI/LLM monitoring as enterprises instrument generative AI workloads at scale in 2025.
About
Datadog is a cloud-native monitoring and security platform founded in 2010 by Olivier Pomel and Alexis Lê-Quôc, headquartered in New York City. The company went public on Nasdaq (DDOG) in September 2019 and has grown to serve over 29,000 customers as of FY2024, generating $2.68 billion in annual recurring revenue, representing approximately 26% year-over-year growth. Datadog's platform spans infrastructure monitoring, application performance management (APM), log management, security monitoring, and AI observability, positioning it as the unified observability stack for cloud-scale engineering teams.
AI Visibility Head-to-Head
Capabilities & Ecosystem
Capabilities
Integrations
Also Compare
Track AI Visibility in Real Time
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.