Machine Learning · head to head
Ray vs Stata

Stata
Machine Learning
Data science software for research professionals
- From
- $48/year
- Rated
- -
The short version
- Only Ray has a free tier, so it costs nothing to try first.
- Each has a real cost: Ray windows support is beta and multi node Ray clusters are untested on Windows; Stata the entry Stata/BE edition is capped at 2,048 variables and 798 independent variables in a model
- They diverge on capability: Ray covers Distributed computing, Stata covers Statistical analysis.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Ray and Stata actually diverge.
Identical on both: platforms (Linux, Mac, Windows), 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 Ray
- Distributed computing
- Ray Train
- Ray Tune
- RLlib
- Ray Serve
- PyTorch
- TensorFlow
- Hugging Face
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.
Ray
- Distributed AI model training and servingnot Stata
- Large-scale data processingnot Stata
- Reinforcement learning workloadsnot Stata
- ML inference servingnot Stata
Stata
- Statistical analysis and data analysisnot Ray
- Econometric modelingnot Ray
- Biostatistics and epidemiologynot Ray
- Academic and research data analysisnot Ray
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Ray
- Windows support is beta and multi node Ray clusters are untested on Windows
- Windows lacks copy on write forking, which raises memory requirements, and Ray code assumes UNIX filenames
- Multi node clusters are untested on Apple Silicon Macs
- The Java API is experimental and community supported only, and requires matching Java and Python versions
- Python 3.13 support is beta
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
Ray
Free- Open SourceFree
- Full Ray framework
- All libraries
- Community support
- Anyscale PlatformFree
- Managed infrastructure
- Enterprise support
- SLAs
Stata
$48/year- Stata/BE$48/year
- Basic edition
- Core features
- Stata/SE$295/year
- Standard edition
- Larger datasets
Which should you pick?
Choose Ray if
- You need distributed computing.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want ray train.
Choose Stata if
- You need statistical analysis.
- You work on Linux, Mac, Windows.
- You also want data management.
Questions people ask
- Is Ray or Stata better?
- Neither clearly leads. Ray 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, Ray or Stata?
- Ray has a free tier; the other does not. Paid plans start at Free for Ray and $48/year for Stata.
- Does Ray 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 Ray for free?
- Yes. Ray has a free tier, so you can try it without paying. Stata starts at $48/year.
- What is Ray best used for?
- Ray is most often used for distributed ai model training and serving, large-scale data processing, reinforcement learning workloads, ml inference serving. Of those, distributed ai model training and serving and large-scale data processing are not what Stata is typically brought in for.
- What can Ray do that Stata cannot?
- Ray covers Distributed computing, Ray Train, Ray Tune, RLlib. Stata covers Statistical analysis, Data management, Graphics, Econometrics. Both handle Linux support, Mac support, Windows support.
Answered from the vendors’ own pages
Ray: Is Ray free?
Yes. Ray is free and open source software with over 34,800 GitHub stars and 1,000+ contributors. Users can download and use the Ray framework at no cost.
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.
SourceRay: Is there a paid option for Ray?
Yes. Anyscale, the managed platform built by Ray's creators, offers paid tiers with enterprise features like governance and advanced tooling. Specific Anyscale pricing details are not listed on the Ray website.
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.
SourceRay: Can I try Ray with credits?
Yes. New users can try Ray with $100 credit on Anyscale's managed platform to explore the service.
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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- Stata vs AWS SageMaker
- Stata vs Azure Machine Learning
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- Stata vs Milvus
- Stata vs Pinecone
- Stata vs H2O.ai
- Stata vs Dask
- Stata vs Apache Spark MLlib
- Stata vs Weaviate
- Stata vs TensorFlow
- Stata vs LangChain
- Stata vs Dataiku
- Stata vs KNIME
- Stata vs Palantir Foundry
- Stata vs Python
- Stata vs IBM SPSS
- Stata vs JMP
- Stata vs Minitab
- Stata vs MATLAB
- Stata vs PyTorch
- Stata vs Anaconda
- Stata vs Databricks
- Stata vs Langwatch
- Stata vs LlamaIndex
- Stata vs Neptune.ai
- Stata vs OpenAI API
- Stata vs Semantic Kernel
- Stata vs SAS

