Software · head to head
Stata vs TensorFlow
The short version
- Only TensorFlow has a free tier, so it costs nothing to try first.
- Each has a real cost: Stata the entry Stata/BE edition is capped at 2,048 variables and 798 independent variables in a model; TensorFlow pyTorch dominates NLP research ecosystem with Hugging Face Transformers starting as PyTorch-only
- They diverge on capability: Stata covers Statistical analysis, TensorFlow covers Deep learning framework.
Where they differ
Only the attributes on which Stata and TensorFlow actually diverge.
| Attribute | Stata | TensorFlow |
|---|---|---|
| Starting price | $48/year | Free |
| Pricing model | subscription | Unknown |
| Free tier | No | Yes |
| Platforms | Linux, Mac, Windows | Python, JavaScript, C++, Java, Go, Rust |
| Founded | 1985 | 1998 |
Identical on both: 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 TensorFlow
- Deep learning framework
- Neural network training
- Model deployment
- TensorBoard visualization
- Distributed training
- Keras
- TensorFlow Lite
- TensorFlow.js
Both cover
- Linux support
- Mac support
- Windows support
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 TensorFlow
- Reproducible research with do files and logsnot TensorFlow
- Teaching quantitative methods to studentsnot TensorFlow
TensorFlow
- 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
TensorFlow
- PyTorch dominates NLP research ecosystem with Hugging Face Transformers starting as PyTorch-only
- Broader ecosystem is more complex to navigate for new users compared to PyTorch's more Pythonic API
- Performance advantage over PyTorch exists mainly at very large scale with TPUs, not for most workloads
Pricing, plan by plan
Stata
$48/year- Stata/BE$48/year
- Basic edition
- Core features
- Stata/SE$295/year
- Standard edition
- Larger datasets
TensorFlow
FreeNo published plan breakdown. See the TensorFlow review.
Which should you pick?
Choose Stata if
- You need statistical analysis.
- You work on Linux, Mac, Windows.
- You also want data management.
Choose TensorFlow if
- You need deep learning framework.
- You want to start without paying.
- You work on Python, JavaScript, C++, Java, Go, Rust.
- You also want neural network training.
Questions people ask
- Is Stata or TensorFlow better?
- Neither clearly leads. Stata starts at $48/year and TensorFlow at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Stata or TensorFlow?
- TensorFlow has a free tier; the other does not. Paid plans start at $48/year for Stata and Free for TensorFlow.
- Does Stata or TensorFlow run on more platforms?
- Stata runs on Linux, Mac, Windows. TensorFlow runs on Python, JavaScript, C++, Java, Go, Rust.
- Can I use TensorFlow for free?
- Yes. TensorFlow has a free tier, so you can try it without paying. Stata starts at $48/year.
- 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 TensorFlow is typically brought in for.
- What can Stata do that TensorFlow cannot?
- Stata covers Statistical analysis, Data management, Graphics, Econometrics. TensorFlow covers Deep learning framework, Neural network training, Model deployment, TensorBoard visualization. Both handle Linux support, Mac support, Windows support.
Answered from the vendors’ own pages
TensorFlow: Can I run TensorFlow in a web browser?
Yes. TensorFlow.js allows you to develop and deploy machine learning models directly in the browser using JavaScript. It supports both WebGL GPU backend and WebAssembly backends for acceleration.
SourceTensorFlow: Does TensorFlow support deployment on mobile devices?
Yes. TensorFlow Lite enables on-device machine learning on Android, iOS, Raspberry Pi, and embedded systems. LiteRT provides high-performance AI inference for resource-constrained IoT devices.
SourceTensorFlow: What hardware accelerators does TensorFlow support?
TensorFlow supports GPU acceleration and Google's proprietary Tensor Processing Units (TPUs) for specialized matrix operations. Cloud TPUs offer native high-performance support for large-scale machine learning.
SourceTensorFlow: Is TensorFlow free and open-source?
Yes. TensorFlow is completely free and open-source under the Apache 2.0 license. Google released TensorFlow as open-source on November 9, 2015 for anyone to use without licensing costs.
SourceRelated pages
Keep looking
Other head to heads
- Stata vs AWS SageMaker
- Stata vs Google Vertex AI
- Stata vs Azure Machine Learning
- Stata vs DataRobot
- Stata vs Snowflake
- Stata vs Comet ML
- Stata vs Keras
- Stata vs MLflow
- Stata vs Jupyter
- Stata vs PyTorch
- Stata vs scikit-learn
- Stata vs Apache Spark MLlib
- Stata vs Weights & Biases
- Stata vs Alteryx
- Stata vs Anaconda
- Stata vs Databricks
- Stata vs Dataiku
- Stata vs DVC
- TensorFlow vs AWS SageMaker
- TensorFlow vs Google Vertex AI
- TensorFlow vs Azure Machine Learning
- TensorFlow vs DataRobot
- TensorFlow vs Snowflake
- TensorFlow vs Comet ML
- TensorFlow vs Keras
- TensorFlow vs MLflow
- TensorFlow vs Jupyter
- TensorFlow vs PyTorch
- TensorFlow vs scikit-learn
- TensorFlow vs Apache Spark MLlib
- TensorFlow vs Weights & Biases
- TensorFlow vs Alteryx
- TensorFlow vs Anaconda
- TensorFlow vs Databricks
- TensorFlow vs Dataiku
- TensorFlow vs DVC

