Google Cloud Platform
Hoppscotch
| Feature | ||
|---|---|---|
| Pricing | Free / from $0/mo | Free / from $7/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.4 / 5 | 4.5 / 5 |
| Best For | data-teams, kubernetes-users, ai-ml-teams, startups | developers, open-source-teams, api-testing, lightweight-alternative |
| Founded | 2008 | 2019 |
| Compute Engine | ✓ | ✗ |
| Bigquery | ✓ | ✗ |
| Kubernetes Gke | ✓ | ✗ |
| Cloud Functions | ✓ | ✗ |
| Vertex Ai | ✓ | ✗ |
| Cloud Storage | ✓ | ✗ |
| Firebase | ✓ | ✗ |
| Rest Client | ✗ | ✓ |
| Graphql Client | ✗ | ✓ |
| Websocket Testing | ✗ | ✓ |
| Collections | ✗ | ✓ |
| Environments | ✗ | ✓ |
| Team Collaboration | ✗ | ✓ |
| Self Hostable | ✗ | ✓ |
✓ 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
✓ Hoppscotch Pros
- Open-source and self-hostable
- Lightweight and fast (browser-based, no download)
- Supports REST, GraphQL, WebSocket, SSE, Socket.IO
- Team collaboration with shared collections
✗ Hoppscotch Cons
- Fewer features than Postman for enterprise use
- Limited mock server capabilities
- Desktop app less mature than web version
The Verdict
Google Cloud Platform is built for data teams and kubernetes users, with a focus on compute-engine and bigquery. Hoppscotch targets developers and open source teams and leads with rest-client and graphql-client.
On pricing, Google Cloud Platform is the clear winner for budget-conscious users — starting at $0/mo compared to $7/mo for Hoppscotch. That $7/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.