Machine Learning & Data Science · head to head
Minitab vs DVC

Minitab
Machine Learning & Data Science
Statistical software for quality improvement
- From
- Free
- Rated
- -

DVC
Machine Learning & Data Science
Data version control for machine learning projects
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Minitab pricing is by quote only: the pricing page is an inquiry form and publishes no rate, no seat price and no minimum; DVC dVC is Apache 2.0 licensed open source with no enterprise tier or paid support offering documented in the project itself; teams needing SLA-backed support get nothing from the DVC project directly.
- They diverge on capability: Minitab covers Statistical analysis, DVC covers Data versioning.
Where they differ
Only the attributes on which Minitab and DVC actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).
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 Minitab
- Statistical analysis
- Quality tools
- Regression analysis
- Control charts
- Design of experiments
- Excel
- Python
- R
Only in DVC
- Data versioning
- Pipeline management
- Experiment tracking
- Remote storage
- Git integration
- Git
- S3
- Azure Blob
Both cover
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
Minitab
- Statistical analysis and hypothesis testing for quality engineeringnot DVC
- Six Sigma and process improvement studies with control chartsnot DVC
- Design of experiments and capability analysisnot DVC
DVC
- Machine learningnot Minitab
- Data analysisnot Minitab
- Model trainingnot Minitab
- Predictive analyticsnot Minitab
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Minitab
- Pricing is by quote only: the pricing page is an inquiry form and publishes no rate, no seat price and no minimum
- Obtaining a price requires submitting contact details and waiting for a sales representative
DVC
- DVC is Apache 2.0 licensed open source with no enterprise tier or paid support offering documented in the project itself; teams needing SLA-backed support get nothing from the DVC project directly.
Pricing, plan by plan
Minitab
Free- TrialFree
- 7-day trial
- Full features
- Single User$29/month
- Full Minitab
- All features
DVC
Free- Open SourceFree
- Data versioning
- Pipeline management
- Experiment tracking
- DVC StudioFree
- Web UI
- Team collaboration
- Visualizations
Which should you pick?
Choose Minitab if
- You need statistical analysis.
- You want to start without paying.
- You work on Mac, Windows, Web.
- You also want quality tools.
Choose DVC if
- You need data versioning.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want pipeline management.
Questions people ask
- Is Minitab or DVC better?
- Neither clearly leads. Minitab starts at Free and DVC at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Minitab or DVC?
- Minitab starts at Free and DVC at Free.
- Does Minitab or DVC run on more platforms?
- Minitab runs on Mac, Windows, Web. DVC runs on Linux, Mac, Windows.
- Can I use Minitab for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Minitab best used for?
- Minitab is most often used for statistical analysis and hypothesis testing for quality engineering, six sigma and process improvement studies with control charts, design of experiments and capability analysis. Of those, statistical analysis and hypothesis testing for quality engineering and six sigma and process improvement studies with control charts are not what DVC is typically brought in for.
- What can Minitab do that DVC cannot?
- Minitab covers Statistical analysis, Quality tools, Regression analysis, Control charts. DVC covers Data versioning, Pipeline management, Experiment tracking, Remote storage. Both handle Mac support, Windows support.
Related pages
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- Minitab vs TensorFlow
- Minitab vs Comet ML
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- Minitab vs Jupyter
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- Minitab vs scikit-learn
- Minitab vs Apache Spark MLlib
- Minitab vs Weights & Biases
- Minitab vs Alteryx
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- Minitab vs Dataiku
- DVC vs AWS SageMaker
- DVC vs Google Vertex AI
- DVC vs Azure Machine Learning
- DVC vs DataRobot
- DVC vs Snowflake
- DVC vs TensorFlow
- DVC vs Comet ML
- DVC vs Keras
- DVC vs MLflow
- DVC vs Jupyter
- DVC vs PyTorch
- DVC vs scikit-learn
- DVC vs Apache Spark MLlib
- DVC vs Weights & Biases
- DVC vs Alteryx
- DVC vs Anaconda
- DVC vs Databricks
- DVC vs Dataiku
