Google Cloud Platform
Snyk
| Feature | ||
|---|---|---|
| Pricing | Free / from $0/mo | Free / from $25/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.4 / 5 | 4.4 / 5 |
| Best For | data-teams, kubernetes-users, ai-ml-teams, startups | development-teams, security-engineers, devops-teams, open-source-maintainers |
| Founded | 2008 | 2015 |
| Compute Engine | ✓ | ✗ |
| Bigquery | ✓ | ✗ |
| Kubernetes Gke | ✓ | ✗ |
| Cloud Functions | ✓ | ✗ |
| Vertex Ai | ✓ | ✗ |
| Cloud Storage | ✓ | ✗ |
| Firebase | ✓ | ✗ |
| Sca Scanning | ✗ | ✓ |
| Sast | ✗ | ✓ |
| Container Scanning | ✗ | ✓ |
| Iac Scanning | ✗ | ✓ |
| Auto Fix Prs | ✗ | ✓ |
| Sbom Generation | ✗ | ✓ |
| License Compliance | ✗ | ✓ |
✓ 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
✓ Snyk Pros
- Developer-first approach integrates into existing workflows
- Automatic fix pull requests for known vulnerabilities
- Comprehensive coverage (code, deps, containers, IaC)
- Generous free tier for individual developers
✗ Snyk Cons
- Per-developer pricing expensive for large teams
- False positives require manual review
- Some language support more mature than others
The Verdict
Google Cloud Platform is built for data teams and kubernetes users, with a focus on compute-engine and bigquery. Snyk targets development teams and security engineers and leads with sca-scanning and sast.
On pricing, Google Cloud Platform is the clear winner for budget-conscious users — starting at $0/mo compared to $25/mo for Snyk. That $25/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.