Head-to-head · Experiment Tracking
Comet vs Amazon SageMaker AI
Comet leads on 1 check, Amazon SageMaker AI on 0, and 1 is even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreComet · 8.7/10
- Free planonly Comet
- Most featuresComet · 1 of 3
Comet scores higher on our rubric for experiment tracking: 8.7 against 8.4 out of 10; our editors rank them #2 and #5.
Comet offers free plan; Amazon SageMaker AI doesn't.
Comet is the better fit for teams comparing runs and managing experiment artifacts. Amazon SageMaker AI is the better fit for AWS teams building and tracking models end to end.
- Comet fits best
Teams comparing runs and managing experiment artifacts
- Amazon SageMaker AI fits best
AWS teams building and tracking models end to end
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Side by side
| Feature | Comet 8.7/10 Visit ↗ | Amazon SageMaker AI 8.4/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.7 | 8.4 |
| Ranking | #2 in Experiment Tracking | #5 in Experiment Tracking |
| Best for | Teams comparing runs and managing experiment artifacts | AWS teams building and tracking models end to end |
| Pricing model | Free plan + paid | Paid |
| Starting price | $19/user/mo | Not checked yet |
| Free plan | ✓ (best) | — |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud |
| Platforms | Web | Web |
| Support | Email, Community, Docs, Phone | Docs |
| Compliance | SOC 2, ISO 27001, GDPR, HIPAA, SSO/SAML | SOC 2, ISO 27001 |
| Integrations | 12 integrations | 6 integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Comet 1/3 · Amazon SageMaker AI 0/3 | ||
| Self-hosted option | Not checked yet | Not checked yet |
| Artifact storage | Not checked yet | Not checked yet |
| Run comparison | ✓ (best) | Not checked yet |
| Specs | ||
| Free plan seats | Not checked yet | Not checked yet |
| Version control | Not checked yet | Not checked yet |
| Deployment options | Not checked yet | Not checked yet |
| Our review | ||
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| Our verdict | Comet gives data science teams and individual practitioners a place to record and analyze machine learning experiments. It captures metrics, parameters, code, system information, visualizations, datasets, and other outputs, then connects… Read the review → |
Amazon SageMaker AI is a fully managed machine-learning service for data scientists, developers, and ML engineers building models on AWS. Its web-based Studio environment covers development through deployment, while managed infrastructure… Read the review → |
Strengths and trade-offs
Comet — where it wins
- Compares training runs and highlights experiment differences
- Tracks artifact lineage and supports dataset versioning
- Integrates with frameworks including PyTorch, TensorFlow, and MLflow
Where it doesn't
- Pro costs $19 per user per month
- Advanced collaboration and email support require Pro
- Enterprise pricing is custom
Amazon SageMaker AI — where it wins
- MLflow-based experiment tracking with comparison and model registry
- Managed training, distributed workloads, pipelines, and multiple inference modes
- AWS ecosystem integrations plus SOC 2 and ISO 27001 compliance
Where it doesn't
- Usage-based billing spans compute, storage, data processing, and related capabilities
- AWS Free Tier applies for two months but is not an unlimited free plan
- Cloud-only deployment does not provide an on-premises option
- Comet8.7/10 · Free plan
A detailed experiment-tracking workspace with run comparisons, versioned artifacts, and a model registry.
Visit CometFull verdict → - Amazon SageMaker AI8.4/10 · Paid
End-to-end AWS model development with MLflow tracking, pipelines, registry, and managed deployment.
Visit SageMaker AIFull verdict →
More comparisons
All experiment tracking comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update