Machine Learning & Data Science · head to head
Azure Machine Learning vs Comet ML
Azure Machine Learning
Machine Learning & Data Science
Enterprise-grade machine learning service
- From
- Free
- Rated
- -
Comet ML
Machine Learning & Data Science
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services; Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention
- They diverge on capability: Azure Machine Learning covers Automated ML, Comet ML covers Experiment tracking.
Where they differ
Only the attributes on which Azure Machine Learning and Comet ML actually diverge.
| Attribute | Azure Machine Learning | Comet ML |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | Azure Cloud | Web, Linux, Mac, Windows |
| Founded | 1975 | 2017 |
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 Azure Machine Learning
- Automated ML
- Designer (drag-and-drop)
- Notebooks
- MLOps
- Azure Blob Storage
- Azure DevOps
- Power BI
- Synapse Analytics
Only in Comet ML
- Experiment tracking
- Code versioning
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
- scikit-learn
Both cover
- Model registry
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Azure Machine Learning
- Machine learningnot Comet ML
- Data analysisnot Comet ML
- Model trainingnot Comet ML
- Predictive analyticsnot Comet ML
Comet ML
- Tracking machine learning experiments, metrics and model versionsnot Azure Machine Learning
- Monitoring and evaluating LLM applications with tracingnot Azure Machine Learning
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Azure Machine Learning
- Requires knowledge of Azure ecosystem and integration with other Azure services
- Compute resources for training and inference generate separate charges
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
Pricing, plan by plan
Azure Machine Learning
Free- Free TierFree
- Limited compute
- Basic features
- Pay-as-you-go$0.05/hour
- Full platform
- All compute options
- Enterprise features
Comet ML
Free- FreeFree
- 100 experiments
- Basic features
- Community support
- Team$179/month
- Unlimited experiments
- Team collaboration
- Priority support
Which should you pick?
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).
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.
Questions people ask
- Is Azure Machine Learning or Comet ML better?
- Neither clearly leads. Azure Machine Learning starts at Free and Comet ML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Azure Machine Learning or Comet ML?
- Azure Machine Learning starts at Free and Comet ML at Free.
- Does Azure Machine Learning or Comet ML run on more platforms?
- Azure Machine Learning runs on Azure Cloud. Comet ML runs on Web, Linux, Mac, Windows.
- Can I use Azure Machine Learning for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Azure Machine Learning best used for?
- Azure Machine Learning is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Comet ML is typically brought in for.
- What can Azure Machine Learning do that Comet ML cannot?
- Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps. Comet ML covers Experiment tracking, Code versioning, Hyperparameter optimization, Production monitoring. 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
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