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Head-to-head · ML Experiment Tracking Software

Comet vs Valohai

  • 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
Valohai #6 in ML Experiment Tracking Software 8.3/10 Pricing on request · 14-day trial Free trial✓ 1 of 5 features Visit Valohai

Comet leads on 1 check, Valohai 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
  • Free trialonly Valohai
  • Most featuresComet · 5 of 5

Comet scores higher on our rubric for ml experiment tracking software: 8.7 against 8.3 out of 10; our editors rank them #3 and #6.

Comet offers free plan; Valohai doesn't.

Comet is the better fit for teams prioritizing polished tracking and comparisons. Valohai is the better fit for governed multi-cloud enterprise ML teams.

  • Comet fits best

    Teams prioritizing polished tracking and comparisons

  • Valohai fits best

    Governed multi-cloud enterprise ML teams

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Comet 8.7/10 Visit ↗ Valohai 8.3/10 Visit ↗
At a glance
Editor score 8.7 8.3
Ranking #3 in ML Experiment Tracking Software #6 in ML Experiment Tracking Software
Best for Teams prioritizing polished tracking and comparisons Governed multi-cloud enterprise ML teams
Pricing model Free plan + paid Paid
Starting price $19/user/mo Pricing on request · 14-day trial
Free plan ✓ (best) —
Free trial — 14 days
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web Web
Support Email, Community, Docs, Phone Email, Docs
Compliance SOC 2, ISO 27001, GDPR, HIPAA, SSO/SAML SOC 2, GDPR, SSO/SAML, 2FA
Integrations 12 integrations 20 integrations
Built for Solo, Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Comet 5/5 · Valohai 1/5
Run comparison ✓ (best) Not checked yet
Artifact tracking ✓ (best) Not checked yet
Dataset versioning ✓ (best) Not checked yet
Model registry ✓ ✓
API and SDK access ✓ (best) Not checked yet
Specs
Deployment options Hybrid Not checked yet
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 metrics, logs, parameters, code, data, and reproducibility information
  • Connects registries, pipelines, serving, and data versioning in one platform
  • Supports multi-cloud, Kubernetes, Slurm, on-premises, and distributed training
Cons
  • Enterprise pricing is custom
  • Single sign-on, compliance, and dedicated SLAs are Enterprise features
  • Advanced collaboration and email support require the Pro plan
  • Pricing requires contacting sales
  • There is no free plan
  • Its wider MLOps scope may exceed tracking-only requirements
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 →

Valohai is an MLOps platform for data scientists, ML engineers, and enterprise ML teams. Its experiment tracking covers metrics, logs, parameters, and reproducibility information, while the wider platform manages code, data, models,…

Read the review →
  1. CometML Experiment Tracking Software 8.7Free plan
  2. ValohaiML Experiment Tracking Software 8.3Pricing on request · 14-day trial

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

  • Valohai — where it wins

    • Tracks metrics, logs, parameters, code, data, and reproducibility information
    • Connects registries, pipelines, serving, and data versioning in one platform
    • Supports multi-cloud, Kubernetes, Slurm, on-premises, and distributed training

    Where it doesn't

    • Pricing requires contacting sales
    • There is no free plan
    • Its wider MLOps scope may exceed tracking-only requirements
  • Comet8.7/10 · Free plan

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

    Visit CometFull verdict →
  • Valohai8.3/10 · Pricing on request · 14-day trial

    A broad MLOps platform for teams that need tracking plus production governance.

    Visit ValohaiFull 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