Kong vs Datadog
Side-by-side comparison of AI visibility scores, market position, and capabilities
Open-source API gateway with enterprise platform; raised $170M+; built on NGINX handling authentication, rate limiting, load balancing, and security as a horizontal layer; AI gateway capabilities add emerging LLM traffic management for multi-cloud API environments.
About
Kong is an enterprise API management and service connectivity platform providing an API gateway, service mesh, and developer portal for organizations managing hundreds of microservices and APIs. Founded in 2010 and headquartered in San Francisco, Kong open-sourced its core gateway technology (Kong Gateway, built on NGINX and Lua/Go) which has become one of the most widely deployed API gateways globally, creating a large community and commercial base. The company has raised over $170 million in total funding from investors including Index Ventures, GGV Capital, and others.
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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