| Overview |
The world's most comprehensive cloud computing platform offering 200+ services for compute, storage, database, and machine learning. |
End-to-end computer vision platform for building, training, and deploying custom object detection and classification models. |
| Pricing |
Pay_per_use (Pay-as-you-go) |
Freemium ($-$$$) |
| Key Features |
- EC2 compute
- S3 storage
- Lambda serverless
- RDS databases
- CloudFront CDN
- IAM security
- SageMaker ML
- 200+ services
|
- Dataset management
- Auto-labeling
- Model training
- Deployment
- Inference
- Active learning
- Universe dataset hub
|
| Pros |
- Most comprehensive cloud
- Global infrastructure
- Mature ecosystem
- Strong enterprise features
|
- Easy to use
- End-to-end platform
- Active learning
- Large community
|
| Cons |
- Complex pricing
- Steep learning curve
- Overwhelming service catalog
- Vendor lock-in
|
- Limited free tier
- Custom models only
- Can be expensive at scale
|
