| Best-fit use case | Open-source API gateway for cloud-native traffic management, plugin-driven policy, Kubernetes workflows, and APISIX AI Gateway use cases. | Kong Gateway is positioned as a cloud-native API gateway for hybrid and multi-cloud microservice architectures. |
| Configuration model | APISIX uses etcd-backed dynamic configuration, which is useful when routes, upstreams, and policies change frequently. | Kong supports multiple deployment modes, including hosted control-plane, on-prem, DB-backed, and DB-less workflows. |
| Kubernetes | Apache APISIX Ingress Controller lets teams use Apache APISIX as the gateway data plane in Kubernetes environments. | Kong Ingress Controller converts Kubernetes resources such as Ingress and HTTPRoute into Kong Gateway configuration. Evaluate it separately from Kong Gateway runtime features. |
| Plugins and extensibility | APISIX has 100+ plugins across authentication, security, traffic, observability, transformation, AI, and other protocols. | Kong Gateway is extended through modules and plugins and has a broad plugin hub and ecosystem. |
| APISIX AI Gateway relevance | APISIX AI Gateway capabilities include AI proxying, LLM load balancing, retry and fallback, token rate limiting, MCP support, and security for AI agents. | Kong also offers AI gateway-related products and plugins; evaluate open-source boundaries, plugin availability, and platform requirements carefully. |
| Rollout lens | Evaluate route translation, plugin equivalence, authentication, observability, and staged traffic shifting. | Kong may remain a strong fit when teams already have Kong-specific tooling, plugins, training, or hosted control-plane workflows. |