Zerq vs. AWS API Gateway: Enterprise API Management Comparison
AWS API Gateway is a strong default for AWS-native teams. For enterprises evaluating an AWS API Gateway alternative with on-premises or cloud-agnostic requirements, deployment independence and compliance control become the decisive factors.
Here is a direct comparison focused on what matters in regulated environments.
Feature comparison
| Capability | Zerq | AWS API Gateway |
|---|---|---|
| Self-hosted / on-premises | ✅ Full support | ⚠️ AWS cloud only |
| Air-gapped deployment | ✅ Yes | ⚠️ Not possible |
| Native workflow builder | ✅ Visual, no-code | ⚠️ Lambda functions required |
| Developer portal | ✅ Included | ⚠️ Basic (AWS Developer Portal) |
| Role-based access (RBAC) | ✅ Full, with separation of duties | ⚠️ Via IAM (partial) |
| Per-partner access control | ✅ Native | ⚠️ Complex IAM configuration |
| Full audit trail | ✅ Included | ⚠️ Via CloudWatch (AWS-only) |
| AI agent access (MCP) | ✅ Native, same gateway | ⚠️ Not available |
| Platform automation (ops) | ✅ Management MCP included | ⚠️ Not available |
| Multi-cloud / cloud-agnostic | ✅ Yes | ⚠️ AWS only |
| Observability | ✅ Included | ⚠️ CloudWatch only |
| Partner self-service portal | ✅ Full | ⚠️ Very limited |
Where AWS API Gateway works well
For AWS-native teams using Lambda and other AWS services, API Gateway is operationally simple and scales automatically with minimal infrastructure management overhead.
Where AWS API Gateway falls short for regulated enterprises
It only runs in AWS
AWS API Gateway cannot run on-premises or air-gapped. For sovereignty, residency, or private deployment mandates, this is a hard limitation.
Audit and observability stay AWS-bound
Core logging and metrics workflows depend on CloudWatch, limiting provider independence for audit, retention, and migration strategies.
Partner self-service requires custom buildout
Per-partner access, modern sign-in flows, and browser-based API testing are not full platform features and typically require significant custom engineering.
Workflow logic is code-heavy
Conditional routing and transformation usually require Lambda and custom code paths, increasing maintenance burden.
No native AI agent access model
AWS API Gateway has no built-in MCP model, so AI-specific auth and audit paths often become separate custom implementations.
IAM does not map cleanly to partner controls
IAM is powerful for AWS resources, but per-partner API isolation for regulated ecosystems can be complex to design and maintain safely.
How Zerq is different
Runs anywhere
Zerq deploys in your data center, sovereign cloud, private cloud, or any major cloud without provider lock-in.
Cloud-agnostic observability
Metrics and logs integrate with Prometheus and your SIEM, so audit controls stay independent of any single cloud provider.
Partner self-service is built in
Per-partner controls, sign-in flows, discovery, and try-it experiences are platform features rather than custom engineering projects.
Visual workflow configuration
Routing, transformation, and error handling are configured visually without Lambda-style code maintenance.
One gateway for apps and AI
Applications and AI agents share the same gateway path, credentials, and audit trail.
The multi-cloud consideration
Enterprises reducing cloud concentration risk need API infrastructure that can move across environments. AWS API Gateway is AWS by design; Zerq is built for cloud-agnostic deployment strategies.
Who should choose AWS API Gateway
AWS API Gateway is a fit for organizations fully committed to AWS, building mainly internal serverless APIs, with limited sovereignty constraints and enough engineering capacity for custom partner workflows.
Who should choose Zerq
Zerq is a fit for regulated enterprises that need deployment independence, true partner self-service, visual workflow control, and unified governance for both apps and AI agents.
Related reading: On-Premises vs Cloud API Gateway · What no vendor lock-in actually means