Kong
PostHog
| Feature | ||
|---|---|---|
| Pricing | Free / from $0.05/mo | Free / from $0/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.3 / 5 | 4.5 / 5 |
| Best For | platform-engineers, microservices-teams, api-gateway-users, devops-teams | developers, startups, product-teams, privacy-conscious-companies |
| Founded | 2010 | 2020 |
| Api Gateway | ✓ | ✗ |
| Service Mesh | ✓ | ✗ |
| Load Balancing | ✓ | ✗ |
| Authentication | ✓ | ✗ |
| Rate Limiting | ✓ | ✗ |
| Plugins | ✓ | ✗ |
| Observability | ✓ | ✗ |
| Kubernetes Ingress | ✓ | ✗ |
| Product Analytics | ✗ | ✓ |
| Session Replay | ✗ | ✓ |
| Feature Flags | ✗ | ✓ |
| Experiments | ✗ | ✓ |
| Surveys | ✗ | ✓ |
| Data Warehouse | ✗ | ✓ |
| Self Hosting | ✗ | ✓ |
✓ 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
✓ PostHog Pros
- All-in-one analytics replacing multiple tools
- Generous free tier (1M events/month)
- Self-hostable for full data control
- Feature flags and experiments built-in
✗ PostHog Cons
- Can be complex to set up properly
- Self-hosting requires infrastructure maintenance
- Less polished UI than Amplitude
The Verdict
Kong is built for platform engineers and microservices teams, with a focus on api-gateway and service-mesh. PostHog targets developers and startups and leads with product-analytics and session-replay.
Both tools come in at similar price points ($0.05/mo for Kong, $0/mo for PostHog), so pricing won't make the decision for you.
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 PostHog 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.