Apollo GraphQL vs Datadog
Side-by-side comparison of AI visibility scores, market position, and capabilities
Apollo GraphQL is a San Francisco-based enterprise GraphQL API platform trusted by Netflix, Expedia, and Walmart; raised $152M from a16z, Insight Partners, and Matrix; 25M monthly open-source downloads; $37.3M revenue in 2024;
About
Apollo GraphQL is a software infrastructure company founded in 2016 and headquartered in San Francisco, California. The company created and maintains the world's most widely used GraphQL client and server libraries, and has since built Apollo GraphOS — an enterprise platform for managing, securing, and monitoring production GraphQL APIs at scale. GraphQL is a query language for APIs that enables clients to request exactly the data they need, reducing over-fetching and under-fetching problems common in REST API architectures. Apollo's open-source software is downloaded approximately 25 million times per month, making it the de facto standard for GraphQL development.
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.
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