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Head-to-head · Experiment Tracking

Comet vs Determined

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Comet #2 in Experiment Tracking 8.7/10 Free plan Free plan✓ 1 of 3 features Visit Comet
Determined #7 in Experiment Tracking 8.2/10 Free plan Free plan✓ 0 of 3 features Visit Determined

Comet leads on 0 checks, Determined on 0, and 2 are 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 planboth
  • Most featuresComet · 1 of 3

Comet scores higher on our rubric for experiment tracking: 8.7 against 8.2 out of 10; our editors rank them #2 and #7.

Comet is the better fit for teams comparing runs and managing experiment artifacts. Determined is the better fit for teams training distributed models on their own.

  • Comet fits best

    Teams comparing runs and managing experiment artifacts

  • Determined fits best

    Teams training distributed models on their own

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Side by side

Feature Comet 8.7/10 Visit ↗ Determined 8.2/10 Visit ↗
At a glance
Editor score 8.7 8.2
Ranking #2 in Experiment Tracking #7 in Experiment Tracking
Best for Teams comparing runs and managing experiment artifacts Teams training distributed models on their own
Pricing model Free plan + paid Free
Starting price $19/user/mo Free plan
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web Web, Linux
Support Email, Community, Docs, Phone Community
Integrations 12 integrations 6 integrations
Built for Solo, Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Comet 1/3 · Determined 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
Pros
  • Compares training runs and highlights experiment differences
  • Tracks artifact lineage and supports dataset versioning
  • Integrates with frameworks including PyTorch, TensorFlow, and MLflow
  • Tracks code versions, metrics, checkpoints, and hyperparameters
  • Combines distributed training with GPU scheduling and resource management
  • Supports deployments to AWS, GCP, Kubernetes, and Slurm/PBS
Cons
  • Pro costs $19 per user per month
  • Advanced collaboration and email support require Pro
  • Enterprise pricing is custom
  • Experiment tracking is narrower than leading suites
  • Workflows are centered on Python
  • Support is community-based
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 →

Determined brings distributed training, hyperparameter tuning, experiment tracking, and resource management into an open-source deep learning platform. It is aimed at researchers and machine learning teams that train models on their own…

Read the review →
  1. CometExperiment Tracking 8.7Free plan
  2. DeterminedExperiment Tracking 8.2Free plan

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

  • Determined — where it wins

    • Tracks code versions, metrics, checkpoints, and hyperparameters
    • Combines distributed training with GPU scheduling and resource management
    • Supports deployments to AWS, GCP, Kubernetes, and Slurm/PBS

    Where it doesn't

    • Experiment tracking is narrower than leading suites
    • Workflows are centered on Python
    • Support is community-based
  • Comet8.7/10 · Free plan

    A detailed experiment-tracking workspace with run comparisons, versioned artifacts, and a model registry.

    Visit CometFull verdict →
  • Determined8.2/10 · Free plan

    A focused option for teams training distributed models on their own infrastructure.

    Visit DeterminedFull 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