
1. Amazon SageMaker AITop pick
Best for: Data science teams already on AWS who want managed training, AutoML and hosting next to their data.
57.5
score / 100
Why switch from DataRobot
AWS's managed ML service with AutoML in Canvas and pay-as-you-go pricing instead of an enterprise licence.
Pros
- Covers notebooks, training, tuning, pipelines and hosting in one service
- AutoML through Autopilot in Canvas, with a model leaderboard
- Pay only for compute and storage used, with no minimum fee
- Tight integration with S3, IAM and other AWS services
Cons
- Only runs on AWS, so it ties your ML stack to one cloud
- Usage-based billing across many components is hard to predict
- Large surface area with a steep learning curve for newcomers
How this score is calculated
0 counted reviews, 0 up and 0 down votes. Full formula
Verified facts
8 of 8 verified- Free plan
- Yes, free tier for the first 2 months
- Checked Nov 8, 2026aws.amazon.com(opens source in a new tab)
- Free notebook hours
- 250 hours a month of ml.t3.medium
- Checked Nov 8, 2026aws.amazon.com(opens source in a new tab)
- Human model evaluation
- $0.21 per completed task
- Checked Nov 8, 2026aws.amazon.com(opens source in a new tab)
- ml.c5.xlarge instance
- $0.204 per hour (pricing example)
- Checked Nov 8, 2026aws.amazon.com(opens source in a new tab)



