Google Cloud Platform
PlanetScale
| Feature | ||
|---|---|---|
| Pricing | Free / from $0/mo | From $39/mo |
| Free Plan | ✓ Yes | ✗ No |
| Rating | 4.4 / 5 | 4.5 / 5 |
| Best For | data-teams, kubernetes-users, ai-ml-teams, startups | saas-companies, startups, developer-teams, high-traffic-apps |
| Founded | 2008 | 2018 |
| Compute Engine | ✓ | ✗ |
| Bigquery | ✓ | ✗ |
| Kubernetes Gke | ✓ | ✗ |
| Cloud Functions | ✓ | ✗ |
| Vertex Ai | ✓ | ✗ |
| Cloud Storage | ✓ | ✗ |
| Firebase | ✓ | ✗ |
| Database Branching | ✗ | ✓ |
| Schema Changes | ✗ | ✓ |
| Auto Scaling | ✗ | ✓ |
| Read Replicas | ✗ | ✓ |
| Insights Dashboard | ✗ | ✓ |
| Cli Tools | ✗ | ✓ |
| Connection Pooling | ✗ | ✓ |
✓ 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
✓ PlanetScale Pros
- Git-like branching for database schema changes
- Non-blocking schema changes with no downtime
- Built on Vitess (powers YouTube's database)
- Excellent developer experience and CLI
✗ PlanetScale Cons
- Free tier was removed in 2024
- MySQL-compatible only (no PostgreSQL)
- Foreign key constraints not supported in traditional way
The Verdict
Google Cloud Platform is built for data teams and kubernetes users, with a focus on compute-engine and bigquery. PlanetScale targets saas companies and startups and leads with database-branching and schema-changes.
On pricing, Google Cloud Platform is the clear winner for budget-conscious users — starting at $0/mo compared to $39/mo for PlanetScale. That $39/mo difference adds up quickly for growing teams.
Google Cloud Platform has a free plan, which gives it a meaningful edge for individuals and small teams exploring their options. PlanetScale requires a paid subscription from day one.
Both tools are a solid fit for startups — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.
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.