Kong icon

Kong

★★★★ 4.3
VS
Postman icon

Postman

★★★★★ 4.5
Feature Kong Postman
Pricing Free / from $0.05/mo Free / from $14/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.3 / 5 4.5 / 5
Best For platform-engineers, microservices-teams, api-gateway-users, devops-teams developers, qa-engineers, backend-teams, api-designers
Founded 2010 2014
Api Gateway
Service Mesh
Load Balancing
Authentication
Rate Limiting
Plugins
Observability
Kubernetes Ingress
Api Testing
Collections
Environments
Mock Servers
Documentation
Monitoring
Flows

✓ Kong Pros

  • Open-source core with large plugin ecosystem
  • Sub-millisecond latency for API requests
  • Platform-agnostic deployment (cloud, on-prem, hybrid)
  • Strong Kubernetes-native support

✗ Kong Cons

  • Enterprise features require paid license
  • Configuration complexity for advanced setups
  • Documentation could be more beginner-friendly

✓ Postman Pros

  • Industry standard for API testing and development
  • Collaborative workspaces for team API development
  • Auto-generated documentation from collections
  • Mock servers for frontend development

✗ Postman Cons

  • Desktop app is resource-heavy
  • Free tier workspace limits restrictive
  • Can be overkill for simple API testing

The Verdict

Kong is built for platform engineers and microservices teams, with a focus on api-gateway and service-mesh. Postman targets developers and qa engineers and leads with api-testing and collections.

On pricing, Kong is the clear winner for budget-conscious users — starting at $0.05/mo compared to $14/mo for Postman. That $13.95/mo difference adds up quickly for growing teams.

Both offer free plans, so you can test each with your real workflow before committing to a subscription.

Feature-wise, Kong offers broader built-in capabilities (8 features vs 7), while Postman takes a more focused approach — which can mean a simpler, faster onboarding experience.

This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.

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