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Zerq vs Kong vs AWS API Gateway: a no-BS comparison for enterprises

Same words, different animals: self-hosted platform vs gateway with plugins vs regional AWS managed API front door. Dimensions to compare—without pretending one SKU fits every estate.

  • comparisons
  • enterprise
  • architecture
Zerq team

Vendor comparisons age badly: roadmaps shift, SKUs rename, and your requirements are never only a feature matrix. This article gives a straight enterprise lens for three frequently named options—Zerq, Kong, and AWS API Gateway—across deployment, operating model, and what you still have to assemble yourself. It is not a substitute for your own PoC and vendor questions; capabilities change, so verify before you standardize.

Full interactive matrix (Zerq and multiple vendors): Compare.

What you are actually comparing

“API gateway” means different things:

  • A data-plane proxy (traffic in and out).
  • A control plane (how config is stored, reviewed, rolled out).
  • A product surface for partners (portal, docs, try-it).
  • Cross-cutting policy (workflows, per-tenant limits, audit).

Kong and AWS API Gateway are often chosen for the first two bullets alone. Zerq positions as a single platform spanning gateway, management UI, developer portal, native workflows, and AI/MCP access on the same deployment—see Architecture and Capabilities.

Kong (typical enterprise pattern)

Strengths people buy: mature proxy story, plugin ecosystem, self-hosted options, and hybrid patterns with vendor cloud control planes depending on SKU.

Friction we hear in reviews: getting to “whole product” (portal, opinionated partner model, native workflow designer, unified metrics and audit without a shopping list of add-ons) takes integration work. Our Compare table marks several enterprise rows as partial or add-ons for Kong versus included in Zerq—your mileage depends on which Kong edition and which modules you license.

AWS API Gateway

Strengths: first-class fit if your estate is already AWS-native—regional API front doors, IAM integration, usage plans, and tight routing into Lambda, HTTP integrations, and the rest of the AWS surface.

Tradeoffs for large B2B programs: you still bring or buy partner portal, lifecycle semantics, and often a lot of glue for multi-cloud or strict on-prem and air-gap requirements. “Limited” in our matrix usually means managed cloud constraints and feature packaging versus a self-contained platform you run wholly in your network.

Zerq (how we position)

Zerq targets enterprises that want self-hosted or offline control, a built-in workflow designer, developer portal with per-partner access, and first-class MCP and AI paths without a second gateway story—see For AI agents.

That does not mean “replace every Kong or every AWS API Gateway tomorrow.” It means when your selection criteria include unified partner experience, native workflows, and one audit plane for REST and AI, evaluate whether you prefer to integrate those pieces or buy them as one product.

Comparison dimensions to use in RFPs

DimensionWhat to ask
Where config livesRBAC, audit, change management
Partner / tenant modelPer-partner catalogs, profiles, limits without custom code per tenant
WorkflowsNative vs plugins vs external orchestration
AISame gateway identity for MCP and agents, or a parallel stack
ObservabilityMetrics and logs by product and partner—included or extra
ExitExport, open formats, no mandatory vendor SaaS for runtime policy

Related posts: No vendor lock-in isn't just a marketing phrase, API gateway vs. AI gateway.


Summary: Pick the architecture that matches where you run, how you sell APIs, and how much integration debt you will tolerate. Use Compare as a starting checklist, then validate in your environment.

Request an enterprise demo to pressure-test Zerq against your shortlist.