Machine Learning · head to head
Google Vertex AI vs Stata

Google Vertex AI
Machine Learning
Unified ML platform to build, deploy, and scale AI models
- From
- On request
- Rated
- -

Stata
Machine Learning
Data science software for research professionals
- From
- $48/year
- Rated
- -
The short version
- Each has a real cost: Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult; Stata the entry Stata/BE edition is capped at 2,048 variables and 798 independent variables in a model
- They diverge on capability: Google Vertex 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 Google Vertex AI and Stata actually diverge.
| Attribute | Google Vertex AI | Stata |
|---|---|---|
| Starting price | On request | $48/year |
| Pricing model | Unknown | subscription |
| Platforms | Cloud, Web | Linux, Mac, Windows |
| Founded | 2008 | 1985 |
Identical on both: free tier (No), 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 Google Vertex AI
- AutoML
- Custom training
- Feature Store
- Model monitoring
- Prediction serving
- BigQuery
- Cloud Storage
- TensorFlow
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.
Google Vertex AI
- Machine learningnot Stata
- Data analysisnot Stata
- Model trainingnot Stata
- Predictive analyticsnot Stata
Stata
- Statistical analysis and data analysisnot Google Vertex AI
- Econometric modelingnot Google Vertex AI
- Biostatistics and epidemiologynot Google Vertex AI
- Academic and research data analysisnot Google Vertex AI
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Google Vertex AI
- Vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
- Requires familiarity with Google Cloud Platform infrastructure and concepts
- Cost can escalate quickly with large training and inference workloads
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
Google Vertex AI
On requestNo published plan breakdown. See the Google Vertex AI review.
Stata
$48/year- Stata/BE$48/year
- Basic edition
- Core features
- Stata/SE$295/year
- Standard edition
- Larger datasets
Which should you pick?
Choose Google Vertex AI if
- You need automl.
- You work on Cloud, Web.
- You also want custom training.
Choose Stata if
- You need statistical analysis.
- You work on Linux, Mac, Windows.
- You also want data management.
Questions people ask
- Is Google Vertex AI or Stata better?
- Neither clearly leads. Google Vertex AI 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, Google Vertex AI or Stata?
- Google Vertex AI starts at On request and Stata at $48/year.
- Does Google Vertex AI or Stata run on more platforms?
- Google Vertex AI runs on Cloud, Web. Stata runs on Linux, Mac, Windows.
- What is Google Vertex AI best used for?
- Google Vertex AI 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 Google Vertex AI do that Stata cannot?
- Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. Stata covers Statistical analysis, Data management, Graphics, Econometrics.
Answered from the vendors’ own pages
Google Vertex AI: What is the pricing model for Google Vertex AI?
Vertex AI uses a pay-as-you-go model with no upfront costs or lock-in fees. Costs vary by service: training is billed by compute resources and time (30-second increments), online predictions by machine type per hour, and batch predictions by compute time or per-record for specific AutoML types.
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.
SourceGoogle Vertex AI: What types of data can Vertex AI handle?
Vertex AI supports image, video, text, and tabular data types with tools for uploading, storing, and managing large datasets.
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.
SourceGoogle Vertex AI: Does Vertex AI support custom model training?
Yes. Vertex AI supports both AutoML for automated machine learning and custom training code in Python, R, and other languages.
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.
SourceGoogle Vertex AI: What deployment options are available in Vertex AI?
Vertex AI supports online predictions for real-time use cases and batch predictions for large-scale processing.
SourceRelated pages
More on Google Vertex AI
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