Kong vs. AWS Blog
__](/blog/enterprise/kong-vs-aws-api-gateway)__Kong vs. AWS Blog
__An In-Depth API Gateway Comparison Guide
The unified platform for every API, model, and agent you build on AWS, and every environment you run next.
Run Kong-managed gateways in AWS regions today, and extend to Azure, GCP, on-prem, and hybrid tomorrow under one control plane. This allows you to run locally to the workload for data sovereignty performance and unmatched flexibility for your developer & infrastructure teams. With Kong, your API + AI platform unleashes your long-term architecture.
Long-running AI inference, large payloads, and high-throughput APIs can run into [_AWS API Gateway's_](https://aws.amazon.com/about-aws/whats-new/2024/06/amazon-api-gateway-integration-timeout-limit-29-seconds/)_AWS API Gateway's_ limits: HTTP APIs have a fixed 30-second integration timeout, REST APIs default to 29 seconds unless increased for Regional/private APIs, and payloads are capped at 10MB. Kong's configurable runtime gets out of the way without the same quota tradeoffs.
Bedrock and AgentCore handle AWS-hosted models and agents beautifully. Kong AI Gateway supports cross-cloud, on-premesis, cross-model provider routing, token budgets, MCP, A2A, and PII protection for everything your company needs to access today and in the future.
A production AWS stack may combine multiple components: API Gateway, Lambda, Cognito, WAF, CloudWatch, Bedrock, AgentCore, and more. Kong unifies APIs, AI, MCP, agents, and observability through a single control plane, and still uses every AWS service you already love underneath.
For a detailed feature comparison, download the PDF.
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Capabilities | Kong | AWS |
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An In-Depth API Gateway Comparison Guide
Compare Kong Gateway with AWS and several other leading API gateways across a range of real-world, high-demand environments.
Why AWS Bedrock's model lock-in is a problem — and how Kong stacks up against every alternative.