Software · head to head
DataRobot vs Stata

DataRobot
Software
Enterprise AI platform for automated machine learning
- From
- On request
- Rated
- -
The short version
- Each has a real cost: DataRobot model transparency is limited, often resembling a black box with limited explainability; Stata the entry Stata/BE edition is capped at 2,048 variables and 798 independent variables in a model
- They diverge on capability: DataRobot covers Automated ML, Stata covers Statistical analysis.
Where they differ
Only the attributes on which DataRobot and Stata actually diverge.
Identical on both: pricing model (subscription), free tier (No), user rating (Not yet rated), category (Unknown).
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 DataRobot
- Automated ML
- Model deployment
- Time series
- MLOps
- Model monitoring
- Snowflake
- Databricks
- AWS
Only in Stata
- Statistical analysis
- Data management
- Graphics
- Econometrics
- Survey analysis
- Python
- ODBC
- Excel
What people use each for
The jobs each tool is most often brought in to do.
DataRobot
- Machine learningnot Stata
- Data analysisnot Stata
- Model trainingnot Stata
- Predictive analyticsnot Stata
Stata
- Statistical analysis and econometrics on panel and survey datanot DataRobot
- Reproducible research with do files and logsnot DataRobot
- Teaching quantitative methods to studentsnot DataRobot
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Stata
- The entry Stata/BE edition is capped at 2,048 variables and 798 independent variables in a model
- Raising the variable limit to 32,767 requires Stata/SE and 120,000 requires Stata/MP
- Stata/MP is licensed by core count, so 2 core and 4 core licences are priced separately
- Student licences require proof of enrolment at a degree granting institution
- Stata/MP is not sold on a 6 month student term
- Perpetual student licences cost several times the annual price, for example $298 against $94 for Stata/BE
Pricing, plan by plan
DataRobot
On request- TrialFree
- Limited access
- Basic features
- EnterpriseFree
- Full platform
- AutoML
- MLOps
Stata
$48/year- Stata/BE$48/year
- Basic edition
- Core features
- Stata/SE$295/year
- Standard edition
- Larger datasets
Which should you pick?
Choose Stata if
- You need statistical analysis.
- You work on Linux, Mac, Windows.
- You also want data management.
Questions people ask
- Is DataRobot or Stata better?
- Neither clearly leads. DataRobot starts at On request and Stata at $48/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DataRobot or Stata?
- DataRobot starts at On request and Stata at $48/year.
- Does DataRobot or Stata run on more platforms?
- DataRobot runs on Web. Stata runs on Linux, Mac, Windows.
- What is DataRobot best used for?
- DataRobot is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Stata is typically brought in for.
- What can DataRobot do that Stata cannot?
- DataRobot covers Automated ML, Model deployment, Time series, MLOps. Stata covers Statistical analysis, Data management, Graphics, Econometrics.
Answered from the vendors’ own pages
DataRobot: 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.
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.
SourceDataRobot: Does DataRobot support generative AI?
Yes, DataRobot offers generative AI capabilities with API-first integrations for LLMs, vector databases, and embedding models.
SourceDataRobot: Can DataRobot handle unstructured data?
Yes, DataRobot supports machine learning on both structured and unstructured data, including deep learning, NLP, and image analysis.
SourceRelated pages
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