Google Cloud Platform
Insomnia
| Feature | Google Cloud Platform | Insomnia |
|---|---|---|
| Pricing | Free / from $0/mo | Free / from $5/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.4 / 5 | 4.2 / 5 |
| Best For | data-teams, kubernetes-users, ai-ml-teams, startups | developers, api-designers, small-teams, individual-developers |
| Founded | 2008 | 2015 |
| Compute Engine | ✓ | ✗ |
| Bigquery | ✓ | ✗ |
| Kubernetes Gke | ✓ | ✗ |
| Cloud Functions | ✓ | ✗ |
| Vertex Ai | ✓ | ✗ |
| Cloud Storage | ✓ | ✗ |
| Firebase | ✓ | ✗ |
| Api Client | ✗ | ✓ |
| Graphql Explorer | ✗ | ✓ |
| Environment Variables | ✗ | ✓ |
| Git Sync | ✗ | ✓ |
| Plugins | ✗ | ✓ |
| Design Specs | ✗ | ✓ |
| Automated Testing | ✗ | ✓ |
✓ Google Cloud Platform Pros
- Best-in-class data and analytics tools (BigQuery)
- Leading Kubernetes offering (GKE) from its creators
- Clean, modern console and developer experience
- $300 free credits for new accounts
✗ Google Cloud Platform Cons
- Smaller service catalog than AWS
- Enterprise support and sales lag behind AWS/Azure
- History of deprecating services concerns users
✓ Insomnia Pros
- Beautiful and intuitive desktop application
- Git-based sync for version control of API specs
- Plugin system for extending functionality
- Supports REST, GraphQL, gRPC protocols
✗ Insomnia Cons
- Kong acquisition changed direction (cloud-focused)
- Free tier became more limited over time
- Fewer integrations than Postman
The Verdict
Google Cloud Platform is built for data teams and kubernetes users, with a focus on compute-engine and bigquery. Insomnia targets developers and api designers and leads with api-client and graphql-explorer.
On pricing, Google Cloud Platform is the clear winner for budget-conscious users — starting at $0/mo compared to $5/mo for Insomnia. That $5/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.
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.