Machine Learning · head to head
H2O.ai vs Stata

H2O.ai
Machine Learning
AI Cloud for building and deploying AI applications
- From
- Free
- Rated
- -

Stata
Machine Learning
Data science software for research professionals
- From
- $48/year
- Rated
- -
The short version
- Only H2O.ai has a free tier, so it costs nothing to try first.
- Each has a real cost: H2O.ai java is always required to run H2O-3 even when working from R or Python, and only a 64-bit JRE or JDK is supported; Stata the entry Stata/BE edition is capped at 2,048 variables and 798 independent variables in a model
- They diverge on capability: H2O.ai covers AutoML, Stata covers Statistical analysis.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which H2O.ai and Stata actually diverge.
Identical on both: user rating (Not yet rated), category (Machine Learning).
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 H2O.ai
- AutoML
- Distributed computing
- Feature engineering
- Model explainability
- Time series forecasting
- Spark
- Hadoop
- R
Only in Stata
- Statistical analysis
- Data management
- Graphics
- Econometrics
- Survey analysis
- ODBC
- Excel
- SAS
Both cover
- Python
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
H2O.ai
- Distributed in-memory machine learning over large datasetsnot Stata
- Training and productionising models from R or Python against a shared H2O clusternot Stata
Stata
- Statistical analysis and data analysisnot H2O.ai
- Econometric modelingnot H2O.ai
- Biostatistics and epidemiologynot H2O.ai
- Academic and research data analysisnot H2O.ai
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
H2O.ai
- Java is always required to run H2O-3 even when working from R or Python, and only a 64-bit JRE or JDK is supported
- Supported Java versions stop at Java SE 17; newer versions only run by forcing an unsupported version flag and are guaranteed for experiments rather than production
- H2O-3 only supports numpy below version 2, so a numpy 2 environment must be downgraded
- Supported Python versions are limited to 3.7 through 3.11
- The Flow web UI requires an internet browser and is the only graphical interface
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
H2O.ai
Free- H2O-3 Open SourceFree
- Core algorithms
- AutoML
- Community support
- Driverless AIFree
- Automatic feature engineering
- Model explainability
- Enterprise support
Stata
$48/year- Stata/BE$48/year
- Basic edition
- Core features
- Stata/SE$295/year
- Standard edition
- Larger datasets
Which should you pick?
Choose H2O.ai if
- You need automl.
- You want to start without paying.
- You work on Web, Cloud.
- You also want distributed computing.
Choose Stata if
- You need statistical analysis.
- You work on Linux, Mac, Windows.
- You also want data management.
Questions people ask
- Is H2O.ai or Stata better?
- Neither clearly leads. H2O.ai 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, H2O.ai or Stata?
- H2O.ai has a free tier; the other does not. Paid plans start at Free for H2O.ai and $48/year for Stata.
- Does H2O.ai or Stata run on more platforms?
- H2O.ai runs on Web, Cloud. Stata runs on Linux, Mac, Windows.
- Can I use H2O.ai for free?
- Yes. H2O.ai has a free tier, so you can try it without paying. Stata starts at $48/year.
- What is H2O.ai best used for?
- H2O.ai is most often used for distributed in-memory machine learning over large datasets, training and productionising models from r or python against a shared h2o cluster. Of those, distributed in-memory machine learning over large datasets and training and productionising models from r or python against a shared h2o cluster are not what Stata is typically brought in for.
- What can H2O.ai do that Stata cannot?
- H2O.ai covers AutoML, Distributed computing, Feature engineering, Model explainability. Stata covers Statistical analysis, Data management, Graphics, Econometrics. Both handle Python, Linux support, Mac support, Windows support.
Answered from the vendors’ own pages
H2O.ai: Is H2O open source and free?
Yes. H2O-3 OSS is free and Apache-licensed, designed for self-managed and experimental workflows. H2O.ai also offers enterprise cloud solutions with additional features.
SourceStata: How much does Stata cost?
Stata does not publish specific pricing on its website. Customers must use the 'Order Stata' or 'Request a quote' functions to obtain pricing. StataNow is available as a subscription option, but specific monthly or annual costs are not displayed publicly.
SourceH2O.ai: How many companies use H2O's open source platform?
Over 18,000 companies across Finance, Insurance, Healthcare, Retail, Telco, Sales, and Marketing use H2O's open-source machine learning platform.
SourceStata: What are the differences between Stata editions?
Stata offers multiple editions including Stata/BE and Stata/MP, with different capabilities and performance characteristics. Edition selection affects pricing, but specific comparisons and costs require requesting a quote.
SourceStata: Does Stata offer a subscription model?
Yes, StataNow is offered as a subscription option that delivers new features immediately upon release. However, specific pricing for StataNow subscriptions is not published on the website.
SourceRelated pages
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