Kong
Swell
| Feature | Kong | Swell |
|---|---|---|
| Pricing | Free / from $0.05/mo | Free / from $299/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.3 / 5 | 4.3 / 5 |
| Best For | platform-engineers, microservices-teams, api-gateway-users, devops-teams | developers, subscription-businesses, custom-ecommerce, b2b-commerce |
| Founded | 2010 | 2016 |
| Api Gateway | ✓ | ✗ |
| Service Mesh | ✓ | ✗ |
| Load Balancing | ✓ | ✗ |
| Authentication | ✓ | ✗ |
| Rate Limiting | ✓ | ✗ |
| Plugins | ✓ | ✗ |
| Observability | ✓ | ✗ |
| Kubernetes Ingress | ✓ | ✗ |
| Headless Api | ✗ | ✓ |
| Subscriptions | ✗ | ✓ |
| Multi Currency | ✗ | ✓ |
| Custom Models | ✗ | ✓ |
| Webhooks | ✗ | ✓ |
| Admin Dashboard | ✗ | ✓ |
✓ 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
✓ Swell Pros
- Extremely flexible API
- Built-in subscription support
- Good for unique business models
- Developer-friendly
✗ Swell Cons
- Requires development resources
- Expensive for small stores
- Smaller ecosystem
The Verdict
Kong is built for platform engineers and microservices teams, with a focus on api-gateway and service-mesh. Swell targets developers and subscription businesses and leads with headless-api and subscriptions.
On pricing, Kong is the clear winner for budget-conscious users — starting at $0.05/mo compared to $299/mo for Swell. That $298.95/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 6), while Swell 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.