A practical, source-backed comparison for platform teams evaluating APISIX and Kong Gateway for microservices, gateway policy, API traffic control, and Kubernetes controller workflows.
Use this page as a decision guide, not a universal ranking. The right gateway depends on your deployment model, policy requirements, team ownership, and rollout risk.
Evaluation criteria
A useful comparison should map features to operating model and production risk, not just count checkboxes.
Look at how configuration is stored, how data-plane nodes receive updates, and whether the gateway can operate cleanly in highly dynamic environments.
For an Apache project website, the key question is how much a team can evaluate, deploy, extend, and operate directly from the open-source project.
API gateways are now evaluated for microservices, Kubernetes traffic, security policy, observability, and AI/LLM workloads rather than simple request proxying alone.
Comparison matrix
The matrix summarizes practical differences using official product documentation and publicly available project pages.
| Criterion | Apache APISIX | Kong Gateway |
|---|---|---|
| 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. |
Decision guide
Start with use case fit, then validate with a small proof of concept using your real routes, policies, and observability stack.
You want an Apache 2.0 open-source gateway with dynamic routing, a large plugin ecosystem, Kubernetes-friendly deployment, and a path to manage both API and AI traffic.
Kong may be a better fit when your team already runs Kong, depends on Kong-specific plugins, or relies on Kong-specific control-plane workflows.
Open-source next steps
Move from evaluation to hands-on testing with documentation, plugins, Kubernetes resources, GitHub, and community channels.
Related guides
Use these related pages to move from broad comparison to alternatives or APISIX evaluation.
Browse comparison and alternative guides for Apache APISIX evaluation.
A broad decision guide for comparing API gateways, API management platforms, ingress controllers, service mesh proxies, and reverse proxy foundations.
Compare open-source and source-available gateway options by architecture, Kubernetes fit, extensibility, and operating model.
Browse alternative pages for Kong, Tyk, Apigee, AWS API Gateway, NGINX, Traefik, Envoy, and Gravitee.
Source notes
This page uses official product documentation and project pages where possible. It avoids vendor benchmark claims unless a reader can verify them independently.
FAQ
It can cover many gateway use cases, but a production change depends on routes, plugins, identity providers, observability, and rollout strategy. Run both in staging before switching traffic.
Both have Kubernetes paths, but compare the controllers precisely: Apache APISIX Ingress Controller configures APISIX as the data plane, while Kong Ingress Controller configures Kong Gateway. Evaluate each controller separately from the gateway runtime.
No. This comparison focuses on Apache APISIX as an open-source project and uses APISIX, Kong, and Kubernetes documentation as source material.
Create a proof of concept with real routes, plugin chains, authentication, rate limits, traffic splitting, and observability requirements.