| Overview |
The world's most comprehensive cloud computing platform offering 200+ services for compute, storage, database, and machine learning. |
Google Cloud's unified ML platform for building, deploying, and scaling AI models including Gemini and PaLM. |
| Pricing |
Pay_per_use (Pay-as-you-go) |
Pay-per-use ($$-$$$$) |
| Key Features |
- EC2 compute
- S3 storage
- Lambda serverless
- RDS databases
- CloudFront CDN
- IAM security
- SageMaker ML
- 200+ services
|
- Gemini models
- AutoML
- Model Garden
- Pipelines
- Feature Store
- Matching Engine
- MLOps
|
| Pros |
- Most comprehensive cloud
- Global infrastructure
- Mature ecosystem
- Strong enterprise features
|
- Full ML lifecycle
- Google Cloud integration
- Enterprise features
- Multiple model options
|
| Cons |
- Complex pricing
- Steep learning curve
- Overwhelming service catalog
- Vendor lock-in
|
- Complex setup
- GCP dependency
- Steep learning curve
- Expensive at scale
|
