Datadog vs PagerDuty
Side-by-side comparison of AI visibility scores, market position, and capabilities
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.
Incident management and operations cloud with $470M revenue serving 26K customers; AIOps alert correlation and automated runbooks for on-call engineering and SRE teams.
About
PagerDuty is an operations cloud and incident management platform helping engineering and IT teams detect, respond to, and learn from digital disruptions — automating the alerting, escalation, and on-call management that keeps websites, apps, and digital infrastructure running. Founded in 2009 in San Francisco by Andrew Michaels and Alex Solomon and listed on NYSE, PagerDuty generates approximately $470 million in annual revenue serving over 26,000 customers including most Fortune 500 companies.
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