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Head-to-head · Experiment Tracking

ClearML vs Azure Machine Learning

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score ClearML #3 in Experiment Tracking 8.6/10 Free plan Free plan✓ 0 of 3 features Visit ClearML
Azure Machine Learning #8 in Experiment Tracking 8.1/10 Paid ✓ 0 of 3 features Visit Azure

ClearML leads on 1 check, Azure Machine Learning on 0, and 0 are even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreClearML · 8.6/10
  • Free planonly ClearML

ClearML scores higher on our rubric for experiment tracking: 8.6 against 8.1 out of 10; our editors rank them #3 and #8.

ClearML offers free plan; Azure Machine Learning doesn't.

ClearML is the better fit for teams wanting open-source tracking with deployment options. Azure Machine Learning is the better fit for azure teams managing experiments in MLOps workflows.

  • ClearML fits best

    Teams wanting open-source tracking with deployment options

  • Azure Machine Learning fits best

    Azure teams managing experiments in MLOps workflows

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 ClearML 8.6/10 Visit ↗ Azure Machine Learning 8.1/10 Visit ↗
At a glance
Editor score 8.6 8.1
Ranking #3 in Experiment Tracking #8 in Experiment Tracking
Best for Teams wanting open-source tracking with deployment options Azure teams managing experiments in MLOps workflows
Pricing model Free plan + paid Paid
Starting price $15/user/mo —
Free plan ✓ (best) —
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Web Web
Support Email, Community, Docs Docs
Integrations 12 integrations 6 integrations
Built for Solo, Small business, Mid-market, Enterprise Mid-market, Enterprise
Features ClearML 0/3 · Azure Machine Learning 0/3
Self-hosted option Not checked yet Not checked yet
Artifact storage Not checked yet Not checked yet
Run comparison Not checked yet 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
  • Tracks metrics, plots, logs, artifacts, and experiment comparisons
  • Connects dataset versioning, model management, and pipeline orchestration
  • Offers hosted SaaS and self-hosted deployment options
  • Model metrics, charts, and evaluation workflows support experiment review
  • Automated ML, training jobs, and reusable pipelines cover model development
  • Batch and real-time endpoints support different deployment modes
Cons
  • Pro adds usage-based storage and activity charges to its monthly price
  • Scale and Enterprise use quote-based pricing
  • Some capabilities, including RBAC and LDAP, are Enterprise-tier features
  • Compute and other Azure resources are billed separately
  • No free plan is listed
  • Some documented data connections are preview features scheduled for retirement
Our verdict

ClearML brings experiment tracking together with dataset and model management, workflow orchestration, compute scheduling, and model serving. It is suited to data scientists and ML engineering teams that want to manage more of the model…

Read the review →

Azure Machine Learning is a cloud service for data scientists, ML professionals, and engineers managing the machine-learning lifecycle. It combines model development, automated machine learning, training jobs, pipelines, evaluation, MLOps,…

Read the review →
  1. ClearMLExperiment Tracking 8.6Free plan
  2. Azure Machine LearningExperiment Tracking 8.1Paid

Strengths and trade-offs

  • ClearML — where it wins

    • Tracks metrics, plots, logs, artifacts, and experiment comparisons
    • Connects dataset versioning, model management, and pipeline orchestration
    • Offers hosted SaaS and self-hosted deployment options

    Where it doesn't

    • Pro adds usage-based storage and activity charges to its monthly price
    • Scale and Enterprise use quote-based pricing
    • Some capabilities, including RBAC and LDAP, are Enterprise-tier features

  • Azure Machine Learning — where it wins

    • Model metrics, charts, and evaluation workflows support experiment review
    • Automated ML, training jobs, and reusable pipelines cover model development
    • Batch and real-time endpoints support different deployment modes

    Where it doesn't

    • Compute and other Azure resources are billed separately
    • No free plan is listed
    • Some documented data connections are preview features scheduled for retirement
  • ClearML8.6/10 · Free plan

    A broad experiment-tracking and MLOps toolkit with hosted and self-hosted options.

    Visit ClearMLFull verdict →
  • Azure Machine Learning8.1/10 · Paid

    A broad Azure ML workflow with evaluation tools and usage-based compute costs.

    Visit AzureFull 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