Kong vs Apigee for API & AI Connectivity | Kong Inc.

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Stop investing in yesterday: Migrate to Kong on your own terms

Future-proof your infrastructure. Support Agentic, MCP, and multi-LLM workloads on any cloud, at any scale with Kong.

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Low Migration Risk

Bridge the gap between legacy API management and modern architecture with a phased Apigee to Kong migration strategy that keeps your services live while you move to Kong’s high-performance runtime.

High Return on Investment

Standardize on one platform across all clouds to cut repetitive effort and reduce deployment time. Kong’s lightweight gateway and API Platform deliver more for less.

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Govern not just API traffic but AI agents, MCP servers, multi-LLM workloads, and event streams from one platform, no rearchitecting when the next wave hits.

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Capabilities Kong Apigee
Operational Flexibility+
Full SaaS offering
Deployment flexibility
Infrastructure as Code (Iac)
Multi-Cloud Support
Performance+ Kong Apigee
Runtime performance
Achieved with 100% success (no 5xx or 429 errors) and less than 30ms maximum latency
54,250 max TPS ( report)
Default Kong installation and single API gateway configuration out-of-the-box
1,750 max TPS ( report)
Default Apigee X gateway deployment
Automation of CI/CD pipelines
API Security
Dynamic scalability
Extensibility
K8s Native API management
Licensing & Support+ Kong Apigee
Low cost multi-region support
Flexible licensing
Expertised support
End-to-end API Platform+ Kong Apigee
Full API lifecycle management API client and testing tool unavailable
API client and testing tool
Developer portals
Advanced API analytics Legacy analytics; no AI-specific support
Service Catalog
Completeness of vision Positioned furthest in Gartner MQ Behind Kong in Gartner Magic Quadrant

Kong named a Magic Quadrant™ Leader for API Management, plus positioned furthest for Completeness of Vision.

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What is the main difference between Kong and Apigee?+

The primary difference is architecture and deployment flexibility. Kong is a lightweight, cloud-agnostic API gateway that runs natively on Kubernetes and supports any cloud environment. Apigee is a heavier, legacy platform primarily locked into the Google Cloud (GCP) ecosystem. In performance benchmarks, Kong demonstrates up to 31x higher throughput (54,250 TPS vs. 1,750 TPS) and lower latency than Apigee.

Is Apigee locked into Google Cloud?+

Yes, Apigee X and Apigee Edge are heavily tied to Google Cloud Platform (GCP). While Apigee Hybrid allows for some data plane management on Kubernetes, the control plane and deep integrations force a dependency on GCP infrastructure. Kong, by contrast, is fully cloud-agnostic and can run on AWS, Azure, GCP, on-premise, or in hybrid environments without feature limitations.

How do I migrate from Apigee to Kong without downtime?+

Migration from Apigee to Kong is best achieved using a phased "Strangler Fig" pattern. This involves placing Kong alongside your existing Apigee deployment and gradually shifting traffic endpoint-by-endpoint. Kong’s support for declarative configuration (via decK CLI) and automated import tools helps translate Apigee XML policies into Kong plugins, ensuring a low-risk transition that keeps services live throughout the process.

Which API gateway supports Kubernetes natively?+

Kong is designed as a Kubernetes-native API gateway. It utilizes the Kong Ingress Controller to manage APIs directly via Kubernetes Custom Resource Definitions (CRDs), allowing for GitOps-friendly workflows. Apigee offers a hybrid option but relies on a more complex, legacy architecture that is not natively integrated into Kubernetes workflows to the same extent as Kong.

Does Kong support AI and multi-LLM management?+

Yes. Kong serves as an AI Gateway that governs AI agents, MCP servers, and multi-LLM workloads. It provides centralized capabilities for prompt engineering, semantic caching, and traffic control for Large Language Models, allowing you to manage AI traffic alongside traditional API requests in a single platform.

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