Machine Learning & Data Science · head to head
Azure Machine Learning vs DataRobot
Azure Machine Learning
Machine Learning & Data Science
Enterprise-grade machine learning service
- From
- Free
- Rated
- -
DataRobot
Machine Learning & Data Science
Enterprise AI platform for automated machine learning
- From
- On request
- Rated
- -
The short version
- Only Azure Machine Learning has a free tier, so it costs nothing to try first.
- Each has a real cost: Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services; DataRobot model transparency is limited, often resembling a black box with limited explainability
- They diverge on capability: Azure Machine Learning covers Designer (drag-and-drop), DataRobot covers Model deployment.
Where they differ
Only the attributes on which Azure Machine Learning and DataRobot actually diverge.
| Attribute | Azure Machine Learning | DataRobot |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | subscription |
| Free tier | Yes | No |
| Platforms | Azure Cloud | Web |
| Founded | 1975 | 2012 |
Identical on both: 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
- Designer (drag-and-drop)
- Notebooks
- Model registry
- Azure Blob Storage
- Azure DevOps
- Power BI
- Synapse Analytics
Only in DataRobot
- Model deployment
- Time series
- Model monitoring
- Snowflake
- Databricks
- AWS
- Azure
- GCP
Both cover
- Automated ML
- MLOps
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Azure Machine Learning
- Machine learning
- Data analysis
- Model training
- Predictive analytics
DataRobot
- Machine learning
- Data analysis
- Model training
- Predictive analytics
Both are used for machine learning, data analysis, model training, predictive analytics, on those jobs the choice comes down to price and fit rather than capability.
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
DataRobot
- Model transparency is limited, often resembling a black box with limited explainability
- Requires integration with separate data manipulation tools for complex data transformation
- Lacks native Python and R code customization for proprietary algorithms
- Dependence on cloud connectivity means offline capabilities are not available
- Uploading sensitive data to third-party servers raises data privacy and security concerns
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
DataRobot
On request- TrialFree
- Limited access
- Basic features
- EnterpriseFree
- Full platform
- AutoML
- MLOps
Which should you pick?
Choose Azure Machine Learning if
- You need designer (drag-and-drop).
- You want to start without paying.
- You work on Azure Cloud.
- You also want notebooks.
Questions people ask
- Is Azure Machine Learning or DataRobot better?
- Neither clearly leads. Azure Machine Learning starts at Free and DataRobot at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Azure Machine Learning or DataRobot?
- Azure Machine Learning has a free tier; the other does not. Paid plans start at Free for Azure Machine Learning and On request for DataRobot.
- Does Azure Machine Learning or DataRobot run on more platforms?
- Azure Machine Learning runs on Azure Cloud. DataRobot runs on Web.
- Can I use Azure Machine Learning for free?
- Yes. Azure Machine Learning has a free tier, so you can try it without paying. DataRobot starts at On request.
- What is Azure Machine Learning best used for?
- Azure Machine Learning is most often used for machine learning, data analysis, model training, predictive analytics.
- What can Azure Machine Learning do that DataRobot cannot?
- Azure Machine Learning covers Designer (drag-and-drop), Notebooks, Model registry, Azure Blob Storage. DataRobot covers Model deployment, Time series, Model monitoring, Snowflake. Both handle Automated ML, MLOps, 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.
SourceDataRobot: Does DataRobot require data science expertise?
DataRobot automates much of the ML pipeline including data preparation, feature engineering, and model selection, making it more accessible to non-experts, though it is still an enterprise platform.
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.
SourceDataRobot: What does DataRobot cost?
DataRobot uses custom enterprise pricing with typical starting costs around $2,500 per month for smaller organizations. For 10 users, monthly costs range from $15,000 to $20,000. Implementation and professional services are 20-40% of first-year contract value.
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.
SourceDataRobot: Does DataRobot support generative AI?
Yes, DataRobot offers generative AI capabilities with API-first integrations for LLMs, vector databases, and embedding models.
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.
SourceDataRobot: Can DataRobot handle unstructured data?
Yes, DataRobot supports machine learning on both structured and unstructured data, including deep learning, NLP, and image analysis.
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.
Source