Head-to-head · ML Experiment Tracking Software
Weights & Biases vs Amazon SageMaker Experiments
Weights & Biases leads on 1 check, Amazon SageMaker Experiments on 0, and 4 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreWeights & Biases · 8.9/10
- Free planonly Weights & Biases
- Free trialonly Weights & Biases
- Most featuresAmazon SageMaker Experiments · 4 of 5
Weights & Biases scores higher on our rubric for ml experiment tracking software: 8.9 against 8.6 out of 10; our editors rank them #1 and #4.
Weights & Biases offers free plan; Amazon SageMaker Experiments doesn't.
Weights & Biases is the better fit for organizations needing a mature full ML platform. Amazon SageMaker Experiments is the better fit for AWS-native ML teams.
- Weights & Biases fits best
Organizations needing a mature full ML platform
- Amazon SageMaker Experiments fits best
AWS-native ML teams
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Side by side
| Feature | Weights & Biases 8.9/10 Visit ↗ | Amazon SageMaker Experiments 8.6/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.9 | 8.6 |
| Ranking | #1 in ML Experiment Tracking Software | #4 in ML Experiment Tracking Software |
| Best for | Organizations needing a mature full ML platform | AWS-native ML teams |
| Pricing model | Free plan + paid | Paid |
| Starting price | $60/mo | — |
| Free plan | ✓ (best) | — |
| Free trial | 30 days | — |
| Deployment | Cloud, Self-hosted, Browser extension | Cloud |
| Platforms | Web, iOS | Web |
| Support | Email, Live chat, Community · 24/7 | Docs |
| Compliance | SOC 2, ISO 27001, GDPR, HIPAA, SSO/SAML | SOC 2, ISO 27001, GDPR, PCI DSS |
| Integrations | 9 integrations | 5 integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Weights & Biases 1/5 · Amazon SageMaker Experiments 4/5 | ||
| Run comparison | Not checked yet | ✓ (best) |
| Artifact tracking | Not checked yet | ✓ (best) |
| Dataset versioning | Not checked yet | Not checked yet |
| Model registry | ✓ | ✓ |
| API and SDK access | Not checked yet | ✓ (best) |
| Specs | ||
| Deployment options | Not checked yet | Cloud |
| Our review | ||
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| Our verdict | Weights & Biases is an AI developer platform for machine-learning and AI teams working across development, training, evaluation, and production operations. Its core capabilities include experiment tracking and visualization, hyperparameter… Read the review → |
Amazon SageMaker Experiments helps data scientists and developers organize, track, analyze, and compare machine learning experiments and training runs. It supports inputs, parameters, configurations, metrics, results, and output artifacts,… Read the review → |
Strengths and trade-offs
Weights & Biases — where it wins
- Covers tracking, sweeps, versioning, registry, serving, and monitoring
- Supports managed, dedicated, and self-hosted deployment options
- Integrates with PyTorch, TensorFlow, Hugging Face, and scikit-learn
Where it doesn't
- Pro starts at $60 per month when billed monthly
- The Free plan includes community support rather than priority support
- Its broad scope may exceed the needs of teams seeking tracking alone
Amazon SageMaker Experiments — where it wins
- Tracks parameters, metrics, configurations, results, and artifacts
- Compares experiment runs with metrics and charts
- Connects MLflow, S3, registries, pipelines, APIs, and SDKs
Where it doesn't
- No free plan
- Compute and storage are billed separately
- Best suited to teams already centered on AWS services
- Weights & Biases8.9/10 · Free plan · 30-day trial
A broad ML platform that extends experiment tracking into production workflows.
Try Weights & BiasesFull verdict → - Amazon SageMaker Experiments8.6/10 · Paid
A strong fit for AWS-native teams that need tracking, comparison, artifacts, and MLflow.
Visit AWSFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update