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Head-to-head · ML Experiment Tracking Software

Comet vs Amazon SageMaker Experiments

  • Updated Oct 2026
  • Both researched from official sources
  • 6 checks side by side
Higher score Comet #3 in ML Experiment Tracking Software 8.7/10 Free plan Free plan✓ 5 of 5 features Visit Comet
Amazon SageMaker Experiments #4 in ML Experiment Tracking Software 8.6/10 Paid ✓ 4 of 5 features Visit AWS

Comet leads on 1 check, Amazon SageMaker Experiments on 0, and 5 are even. Who comes out ahead on the 6 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 · 5 of 5

Comet scores higher on our rubric for ml experiment tracking software: 8.7 against 8.6 out of 10; our editors rank them #3 and #4.

Comet offers free plan; Amazon SageMaker Experiments doesn't. On deployment options, Comet gives you Hybrid where Amazon SageMaker Experiments offers Cloud.

Comet is the better fit for teams prioritizing polished tracking and comparisons. Amazon SageMaker Experiments is the better fit for AWS-native ML teams.

  • Comet fits best

    Teams prioritizing polished tracking and comparisons

  • Amazon SageMaker Experiments fits best

    AWS-native ML teams

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Side by side

Feature Comet 8.7/10 Visit ↗ Amazon SageMaker Experiments 8.6/10 Visit ↗
At a glance
Editor score 8.7 8.6
Ranking #3 in ML Experiment Tracking Software #4 in ML Experiment Tracking Software
Best for Teams prioritizing polished tracking and comparisons AWS-native ML teams
Pricing model Free plan + paid Paid
Starting price $19/user/mo —
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, GDPR, PCI DSS
Integrations 12 integrations 5 integrations
Built for Solo, Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Comet 5/5 · Amazon SageMaker Experiments 4/5
Run comparison ✓ ✓
Artifact tracking ✓ ✓
Dataset versioning ✓ (best) Not checked yet
Model registry ✓ ✓
API and SDK access ✓ ✓
Specs
Deployment options Hybrid Cloud
Our review
Pros
  • Direct run comparison with metrics, parameters, code, and system information
  • Artifact lineage, dataset versioning, and a model registry in one platform
  • Hosted, API, and self-hosted deployment options with broad ML integrations
  • Tracks parameters, metrics, configurations, results, and artifacts
  • Compares experiment runs with metrics and charts
  • Connects MLflow, S3, registries, pipelines, APIs, and SDKs
Cons
  • Enterprise pricing is custom
  • Single sign-on, compliance, and dedicated SLAs are Enterprise features
  • Advanced collaboration and email support require the Pro plan
  • No free plan
  • Compute and storage are billed separately
  • Best suited to teams already centered on AWS services
Our verdict

Comet is a machine learning platform for data science teams and individual practitioners that records and analyzes training runs, metrics, parameters, visualizations, code, datasets, and other experiment outputs. Its core value is…

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 →
  1. CometML Experiment Tracking Software 8.7Free plan
  2. Amazon SageMaker ExperimentsML Experiment Tracking Software 8.6Paid

Strengths and trade-offs

  • Comet — where it wins

    • Direct run comparison with metrics, parameters, code, and system information
    • Artifact lineage, dataset versioning, and a model registry in one platform
    • Hosted, API, and self-hosted deployment options with broad ML integrations

    Where it doesn't

    • Enterprise pricing is custom
    • Single sign-on, compliance, and dedicated SLAs are Enterprise features
    • Advanced collaboration and email support require the Pro plan

  • 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
  • Comet8.7/10 · Free plan

    A polished experiment tracking platform with strong comparison, lineage, and registry tools.

    Visit CometFull verdict →
  • Amazon SageMaker Experiments8.6/10 · Paid

    A strong fit for AWS-native teams that need tracking, comparison, artifacts, and MLflow.

    Visit AWSFull verdict →

More comparisons

All ML experiment tracking software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update