Machine Learning & Data Science · head to head
Comet ML vs Azure Machine Learning
Comet ML
Machine Learning & Data Science
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -
Azure Machine Learning
Machine Learning & Data Science
Enterprise-grade machine learning service
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention; Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services
- They diverge on capability: Comet ML covers Experiment tracking, Azure Machine Learning covers Automated ML.
Where they differ
Only the attributes on which Comet ML and Azure Machine Learning actually diverge.
| Attribute | Comet ML | Azure Machine Learning |
|---|---|---|
| Pricing model | freemium | usage-based |
| Platforms | Web, Linux, Mac, Windows | Azure Cloud |
| Founded | 2017 | 1975 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Comet ML
- Experiment tracking
- Code versioning
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
- scikit-learn
Only in Azure Machine Learning
- Automated ML
- Designer (drag-and-drop)
- Notebooks
- MLOps
- Azure Blob Storage
- Azure DevOps
- Power BI
- Synapse Analytics
Both cover
- Model registry
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Comet ML
- Tracking machine learning experiments, metrics and model versionsnot Azure Machine Learning
- Monitoring and evaluating LLM applications with tracingnot Azure Machine Learning
Azure Machine Learning
- Machine learningnot Comet ML
- Data analysisnot Comet ML
- Model trainingnot Comet ML
- Predictive analyticsnot Comet ML
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Comet ML
- The free cloud tier caps data at 25,000 spans a month with 60 day retention
- Retention stays at 60 days even on the paid Pro plan, and extending it is a $29 per 100k spans add on
- Overage on Pro is $5 per additional 100,000 spans
- The free MLOps tier is a single user with 100 GB of storage and training hours governed by a fair usage policy
- Pro MLOps is $19 per user per month and caps the team at 10 users
Azure Machine Learning
- Requires knowledge of Azure ecosystem and integration with other Azure services
- Compute resources for training and inference generate separate charges
Pricing, plan by plan
Comet ML
Free- FreeFree
- 100 experiments
- Basic features
- Community support
- Team$179/month
- Unlimited experiments
- Team collaboration
- Priority support
Azure Machine Learning
Free- Free TierFree
- Limited compute
- Basic features
- Pay-as-you-go$0.05/hour
- Full platform
- All compute options
- Enterprise features
Which should you pick?
Choose Comet ML if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Linux, Mac, Windows.
- You also want code versioning.
Choose Azure Machine Learning if
- You need automated ml.
- You want to start without paying.
- You work on Azure Cloud.
- You also want designer (drag-and-drop).
Questions people ask
- Is Comet ML or Azure Machine Learning better?
- Neither clearly leads. Comet ML starts at Free and Azure Machine Learning at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Comet ML or Azure Machine Learning?
- Comet ML starts at Free and Azure Machine Learning at Free.
- Does Comet ML or Azure Machine Learning run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. Azure Machine Learning runs on Azure Cloud.
- Can I use Comet ML for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Comet ML best used for?
- Comet ML is most often used for tracking machine learning experiments, metrics and model versions, monitoring and evaluating llm applications with tracing. Of those, tracking machine learning experiments, metrics and model versions and monitoring and evaluating llm applications with tracing are not what Azure Machine Learning is typically brought in for.
- What can Comet ML do that Azure Machine Learning cannot?
- Comet ML covers Experiment tracking, Code versioning, Hyperparameter optimization, Production monitoring. Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps. Both handle Model registry, Web support.
Answered from the vendors’ own pages
Azure Machine Learning: Does Azure Machine Learning have any platform licensing fees?
No, Azure Machine Learning carries no extra cost. You only pay for the underlying compute resources utilized during model training or inference.
SourceAzure Machine Learning: What AutoML capabilities does Azure Machine Learning provide?
Azure Machine Learning supports automated model creation for classification, regression, vision, and natural language processing tasks.
SourceAzure Machine Learning: Does Azure ML support language model fine-tuning?
Yes, Azure Machine Learning supports fine-tuning of foundation models from providers including OpenAI, Meta, Hugging Face, and Cohere.
SourceAzure Machine Learning: What MLOps features are included?
Azure ML includes end-to-end pipeline automation with CI/CD capabilities, managed endpoints for model deployment, and monitoring tools.
SourceAzure Machine Learning: Can I access foundation models from multiple vendors?
Yes, Azure Machine Learning provides access to a model catalog with foundation models from Microsoft, OpenAI, Hugging Face, Meta, and Cohere.
SourceRelated pages
More on Azure Machine Learning
Other head to heads
- Comet ML vs AWS SageMaker
- Comet ML vs Google Vertex AI
- Comet ML vs DataRobot
- Comet ML vs Snowflake
- Comet ML vs TensorFlow
- Comet ML vs Keras
- Comet ML vs MLflow
- Comet ML vs Jupyter
- Comet ML vs PyTorch
- Comet ML vs scikit-learn
- Comet ML vs Apache Spark MLlib
- Comet ML vs Weights & Biases
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- Comet ML vs Anaconda
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- Comet ML vs Dataiku
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- Azure Machine Learning vs AWS SageMaker
- Azure Machine Learning vs Google Vertex AI
- Azure Machine Learning vs DataRobot
- Azure Machine Learning vs Snowflake
- Azure Machine Learning vs TensorFlow
- Azure Machine Learning vs Keras
- Azure Machine Learning vs MLflow
- Azure Machine Learning vs Jupyter
- Azure Machine Learning vs PyTorch
- Azure Machine Learning vs scikit-learn
- Azure Machine Learning vs Apache Spark MLlib
- Azure Machine Learning vs Weights & Biases
- Azure Machine Learning vs Alteryx
- Azure Machine Learning vs Anaconda
- Azure Machine Learning vs Databricks
- Azure Machine Learning vs Dataiku
- Azure Machine Learning vs DVC