Coolify
Google Cloud Platform
| Feature | ||
|---|---|---|
| Pricing | Free / from $5/mo | Free / from $0/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.5 / 5 | 4.4 / 5 |
| Best For | indie-hackers, small-teams, self-hosters, privacy-conscious-developers | data-teams, kubernetes-users, ai-ml-teams, startups |
| Founded | 2021 | 2008 |
| Git Deployments | ✓ | ✗ |
| Database Management | ✓ | ✗ |
| Auto Ssl | ✓ | ✗ |
| Backups | ✓ | ✗ |
| Monitoring | ✓ | ✗ |
| Docker Compose | ✓ | ✗ |
| Team Management | ✓ | ✗ |
| Compute Engine | ✗ | ✓ |
| Bigquery | ✗ | ✓ |
| Kubernetes Gke | ✗ | ✓ |
| Cloud Functions | ✗ | ✓ |
| Vertex Ai | ✗ | ✓ |
| Cloud Storage | ✗ | ✓ |
| Firebase | ✗ | ✓ |
✓ Coolify Pros
- Self-hosted alternative to expensive PaaS platforms
- Beautiful modern UI with git-push deployments
- Manages databases, services, and apps in one place
- Automatic SSL and backups included
✗ Coolify Cons
- Self-hosting requires server management knowledge
- Newer project with occasional stability issues
- Documentation gaps for advanced configurations
✓ 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
The Verdict
Coolify is built for indie hackers and small teams, with a focus on git-deployments and database-management. Google Cloud Platform targets data teams and kubernetes users and leads with compute-engine and bigquery.
On pricing, Google Cloud Platform is the clear winner for budget-conscious users — starting at $0/mo compared to $5/mo for Coolify. 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.