Machine Learning & Data Science · head to head
BentoML vs Stata
BentoML
Machine Learning & Data Science
Build production-ready ML applications
- From
- Free
- Rated
- -
Stata
Machine Learning & Data Science
Data science software for research professionals
- From
- $48/year
- Rated
- -
The short version
- Only BentoML has a free tier, so it costs nothing to try first.
- Each has a real cost: BentoML core BentoML framework is Apache 2.0 and free, but the managed BentoCloud enterprise tier has no published pricing: the README instructs buyers to sign up for personal access or contact sales for enterprise use, with no rate card shown.; Stata the entry Stata/BE edition is capped at 2,048 variables and 798 independent variables in a model
- They diverge on capability: BentoML covers Model packaging, Stata covers Statistical analysis.
Where they differ
Only the attributes on which BentoML and Stata actually diverge.
Identical on both: platforms (Linux, Mac, Windows), 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 BentoML
- Model packaging
- REST API generation
- Adaptive batching
- Multi-framework support
- Container deployment
- PyTorch
- TensorFlow
- scikit-learn
Only in Stata
- Statistical analysis
- Data management
- Graphics
- Econometrics
- Survey analysis
- Python
- ODBC
- Excel
Both cover
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
BentoML
- Machine learningnot Stata
- Data analysisnot Stata
- Model trainingnot Stata
- Predictive analyticsnot Stata
Stata
- Statistical analysis and econometrics on panel and survey datanot BentoML
- Reproducible research with do files and logsnot BentoML
- Teaching quantitative methods to studentsnot BentoML
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
BentoML
- Core BentoML framework is Apache 2.0 and free, but the managed BentoCloud enterprise tier has no published pricing: the README instructs buyers to sign up for personal access or contact sales for enterprise use, with no rate card shown.
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
BentoML
Free- Open SourceFree
- Model packaging
- API creation
- Local serving
- BentoCloudFree
- Managed deployment
- Auto-scaling
- Monitoring
Stata
$48/year- Stata/BE$48/year
- Basic edition
- Core features
- Stata/SE$295/year
- Standard edition
- Larger datasets
Which should you pick?
Choose BentoML if
- You need model packaging.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want rest api generation.
Choose Stata if
- You need statistical analysis.
- You work on Linux, Mac, Windows.
- You also want data management.
Questions people ask
- Is BentoML or Stata better?
- Neither clearly leads. BentoML starts at Free and Stata at $48/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BentoML or Stata?
- BentoML has a free tier; the other does not. Paid plans start at Free for BentoML and $48/year for Stata.
- Does BentoML or Stata run on more platforms?
- Both run on Linux, Mac, Windows, so platform support will not decide this one for you.
- Can I use BentoML for free?
- Yes. BentoML has a free tier, so you can try it without paying. Stata starts at $48/year.
- What is BentoML best used for?
- BentoML 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 BentoML do that Stata cannot?
- BentoML covers Model packaging, REST API generation, Adaptive batching, Multi-framework support. Stata covers Statistical analysis, Data management, Graphics, Econometrics. Both handle Linux support, Mac support, Windows support.