AWS API Gateway vs. Gloo Edge

AWS API Gateway is the most locked-in option. API definitions, Lambda authorizers, IAM policies, and CloudWatch integrations are all AWS-specific. Moving to another cloud provider means rebuilding your entire API layer — there is no export or migration path. For organizations committed to AWS-only infrastructure, this trade-off may be acceptable. For multi-cloud strategies, it is a fundamental blocker.

Gloo Edge solves the cloud lock-in problem through Kubernetes abstraction. Since it runs on any Kubernetes cluster (EKS, AKS, GKE, on-prem), your API gateway configuration is portable across cloud providers. However, Gloo's Enterprise features (service mesh, developer portal, WAF) are proprietary Solo.io, creating a different form of vendor dependency.

Apache APISIX provides the broadest deployment flexibility — it runs on bare metal, Docker, Kubernetes, or any cloud provider with zero vendor dependency. Configuration is declarative YAML/JSON, all 100+ plugins are open-source (Apache 2.0), and there are no proprietary features hidden behind an Enterprise paywall. You own your API infrastructure completely.

AWS API Gateway has no native Kubernetes integration. Routing traffic from API Gateway to EKS pods requires VPC Links, Network Load Balancers, or Application Load Balancers — adding latency, complexity, and cost. There is no CRD-based configuration, no automatic service discovery, and no Gateway API support.

Gloo Edge is purpose-built for Kubernetes. It uses CRDs for routing configuration, provides automatic service discovery, supports Kubernetes Gateway API, and integrates deeply with Istio for service mesh use cases. For pure Kubernetes environments, Gloo Edge's native integration is its strongest advantage over AWS API Gateway.

Apache APISIX offers a native Kubernetes Ingress Controller with CRD-based routing, Helm deployment, and Gateway API support — matching Gloo Edge's Kubernetes capabilities. The difference is that APISIX also works equally well outside Kubernetes (bare metal, Docker, VM), making it the better choice for organizations with mixed infrastructure.

AWS API Gateway adds 10-30ms of overhead per request due to its managed service abstraction layer. It has a soft limit of 10,000 requests per second per region (increasable via support ticket), and costs scale linearly with request volume. For high-throughput microservices architectures, the per-request overhead and cost model become significant constraints.

Gloo Edge's Envoy-based data plane provides better raw performance than AWS API Gateway — lower latency and higher throughput. However, Envoy's C++ runtime has a higher memory footprint than NGINX-based alternatives, and the control plane (Gloo controller) adds operational complexity.

Apache APISIX achieves 23,000 QPS per core with 0.2ms latency — outperforming both AWS API Gateway and Envoy-based gateways in raw throughput. NGINX's event-driven architecture is more memory efficient than Envoy, and the etcd-based configuration plane is simpler to operate than Gloo's controller. For organizations processing millions of requests daily, the performance and efficiency difference translates directly to infrastructure savings.

AWS API Gateway charges $1-$3.50 per million requests plus data transfer fees. At low traffic (under 100M requests/month), this is cost-effective and simple. But at 1B+ requests/month, costs reach $1,000-$3,500/month just for the gateway — before Lambda, data transfer, and CloudWatch charges. The pay-per-request model punishes high-traffic architectures.

Gloo Edge is free as open-source, but production deployments typically require Enterprise for WAF, developer portal, and mesh management. Enterprise pricing is per-cluster or per-node, typically ranging $50K-$100K+/year for production environments. The jump from free OSS to paid Enterprise can be significant.

API7 Enterprise uses CPU-core based subscription pricing with no per-request charges. At high traffic volumes, this model is dramatically cheaper than AWS API Gateway's per-request pricing and more predictable than Gloo Edge's Enterprise licensing. Combined with APISIX's higher throughput per core, fewer infrastructure resources are needed for equivalent workloads.

Choose AWS API Gateway if you are building a serverless architecture entirely on AWS with Lambda, DynamoDB, and Step Functions. The native integration simplifies development when you have committed to AWS-only infrastructure and your API traffic volume is moderate (under 100M requests/month).

Choose Gloo Edge if you are running a Kubernetes-first architecture and need deep Envoy/Istio service mesh integration. Gloo Edge is strongest for teams already invested in the Envoy ecosystem who need GraphQL federation and multi-cluster mesh management.

Choose Apache APISIX / API7 Enterprise if you need a high-performance API gateway that works across any infrastructure — cloud, on-prem, Kubernetes, or edge — without cloud or vendor lock-in. API7 Enterprise is ideal for organizations with multi-cloud strategies, high traffic volumes, or mixed infrastructure that need top-tier performance (23,000 QPS/core), full protocol support (HTTP, gRPC, MQTT, TCP), and predictable CPU-core pricing.