Amazon Web Services (AWS)
Google Cloud Platform
| Feature | ||
|---|---|---|
| Pricing | Free / from $0/mo | Free / from $0/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.5 / 5 | 4.4 / 5 |
| Best For | enterprises, startups, large-scale-applications, machine-learning-teams | data-teams, kubernetes-users, ai-ml-teams, startups |
| Founded | 2006 | 2008 |
| Compute Ec2 | ✓ | ✗ |
| Storage S3 | ✓ | ✗ |
| Serverless Lambda | ✓ | ✗ |
| Databases Rds | ✓ | ✗ |
| Machine Learning | ✓ | ✗ |
| Containers Ecs | ✓ | ✗ |
| Cdn Cloudfront | ✓ | ✗ |
| Compute Engine | ✗ | ✓ |
| Bigquery | ✗ | ✓ |
| Kubernetes Gke | ✗ | ✓ |
| Cloud Functions | ✗ | ✓ |
| Vertex Ai | ✗ | ✓ |
| Cloud Storage | ✗ | ✓ |
| Firebase | ✗ | ✓ |
✓ Amazon Web Services (AWS) Pros
- Most extensive service catalog of any cloud provider
- Global infrastructure with 30+ regions worldwide
- 12-month free tier covering many services
- Mature enterprise tooling and compliance certifications
✗ Amazon Web Services (AWS) Cons
- Complex pricing that is hard to predict
- Steep learning curve with overwhelming service count
- Console UI feels dated compared to competitors
✓ 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
Amazon Web Services (AWS) is built for enterprises and startups, with a focus on compute-ec2 and storage-s3. Google Cloud Platform targets data teams and kubernetes users and leads with compute-engine and bigquery.
Both tools come in at similar price points ($0/mo for Amazon Web Services (AWS), $0/mo for Google Cloud Platform), so pricing won't make the decision for you.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
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.