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Software · head to head

Stata vs Google Vertex AI

Stata logo

Stata

Software

Data science software for research professionals

From
$48/year
Rated
-
Full reviewWebsite
Google Vertex AI logo

Google Vertex AI

Software

Unified ML platform to build, deploy, and scale AI models

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Stata the entry Stata/BE edition is capped at 2,048 variables and 798 independent variables in a model; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • They diverge on capability: Stata covers Statistical analysis, Google Vertex AI covers AutoML.

Where they differ

Only the attributes on which Stata and Google Vertex AI actually diverge.

Attributes where Stata and Google Vertex AI differ
AttributeStataGoogle Vertex AI
Starting price$48/yearOn request
Pricing modelsubscriptionUnknown
PlatformsLinux, Mac, WindowsCloud, Web
Founded19852008

Identical on both: 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 Stata

  • Statistical analysis
  • Data management
  • Graphics
  • Econometrics
  • Survey analysis
  • Python
  • ODBC
  • Excel

Only in Google Vertex AI

  • AutoML
  • Custom training
  • Feature Store
  • Model monitoring
  • Prediction serving
  • BigQuery
  • Cloud Storage
  • TensorFlow

What people use each for

The jobs each tool is most often brought in to do.

Stata

  • Statistical analysis and econometrics on panel and survey datanot Google Vertex AI
  • Reproducible research with do files and logsnot Google Vertex AI
  • Teaching quantitative methods to studentsnot Google Vertex AI

Google Vertex AI

  • Machine learningnot Stata
  • Data analysisnot Stata
  • Model trainingnot Stata
  • Predictive analyticsnot Stata

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

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

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

Pricing, plan by plan

Stata

$48/year
  • Stata/BE$48/year
    • Basic edition
    • Core features
  • Stata/SE$295/year
    • Standard edition
    • Larger datasets

Google Vertex AI

On request

No published plan breakdown. See the Google Vertex AI review.

Which should you pick?

Choose Stata if

  • You need statistical analysis.
  • You work on Linux, Mac, Windows.
  • You also want data management.
Stata review

Choose Google Vertex AI if

  • You need automl.
  • You work on Cloud, Web.
  • You also want custom training.
Google Vertex AI review

Questions people ask

Is Stata or Google Vertex AI better?
Neither clearly leads. Stata starts at $48/year and Google Vertex AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Stata or Google Vertex AI?
Stata starts at $48/year and Google Vertex AI at On request.
Does Stata or Google Vertex AI run on more platforms?
Stata runs on Linux, Mac, Windows. Google Vertex AI runs on Cloud, Web.
What is Stata best used for?
Stata is most often used for statistical analysis and econometrics on panel and survey data, reproducible research with do files and logs, teaching quantitative methods to students. Of those, statistical analysis and econometrics on panel and survey data and reproducible research with do files and logs are not what Google Vertex AI is typically brought in for.
What can Stata do that Google Vertex AI cannot?
Stata covers Statistical analysis, Data management, Graphics, Econometrics. Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring.

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.

Source
Google 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.

Source
Google 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.

Source
Google 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.

Source
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