Software · head to head
Minitab vs AWS SageMaker
AWS SageMaker
Software
Build, train, and deploy machine learning models at scale
- 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; AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult
- They diverge on capability: Minitab covers Statistical analysis, AWS SageMaker covers Jupyter notebooks.
Where they differ
Only the attributes on which Minitab and AWS SageMaker actually diverge.
| Attribute | Minitab | AWS SageMaker |
|---|---|---|
| Pricing model | subscription | Unknown |
| Platforms | Mac, Windows, Web | Web |
| Founded | 1972 | 2006 |
Identical on both: starting price (Free), free tier (Yes), 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 Minitab
- Statistical analysis
- Quality tools
- Regression analysis
- Control charts
- Design of experiments
- Excel
- Python
- R
Only in AWS SageMaker
- Jupyter notebooks
- Built-in algorithms
- Automatic model tuning
- One-click deployment
- Model monitoring
- S3
- Lambda
- Step Functions
Both cover
- Web 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 AWS SageMaker
- Six Sigma and process improvement studies with control chartsnot AWS SageMaker
- Design of experiments and capability analysisnot AWS SageMaker
AWS SageMaker
- 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
AWS SageMaker
- Vendor lock-in to AWS ecosystem makes migration to other platforms difficult
- Opaque pricing can lead to unexpected expenses like forgotten EBS volume charges
- Does not include native job scheduling, requiring Lambda or EventBridge integration
Pricing, plan by plan
Minitab
Free- TrialFree
- 7-day trial
- Full features
- Single User$29/month
- Full Minitab
- All features
AWS SageMaker
FreeNo published plan breakdown. See the AWS SageMaker review.
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 AWS SageMaker if
- You need jupyter notebooks.
- You want to start without paying.
- You also want built-in algorithms.
Questions people ask
- Is Minitab or AWS SageMaker better?
- Neither clearly leads. Minitab starts at Free and AWS SageMaker at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Minitab or AWS SageMaker?
- Minitab starts at Free and AWS SageMaker at Free.
- Does Minitab or AWS SageMaker run on more platforms?
- Minitab runs on Mac, Windows, Web. AWS SageMaker runs on Web.
- 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 AWS SageMaker is typically brought in for.
- What can Minitab do that AWS SageMaker cannot?
- Minitab covers Statistical analysis, Quality tools, Regression analysis, Control charts. AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Both handle Web support.
Answered from the vendors’ own pages
AWS SageMaker: What is AWS SageMaker used for?
AWS SageMaker is a machine learning service for building, training, and deploying ML models at scale. It provides tools for data preparation, model training, inference endpoints, and performance optimization.
SourceAWS SageMaker: How is AWS SageMaker priced?
SageMaker uses pay-as-you-go pricing with no upfront costs or long-term commitments. Pricing starts at $0.04 per hour for basic notebook instances and scales based on instance type. ML Savings Plans offer up to 64% off with hourly spend commitments.
SourceAWS SageMaker: Does AWS SageMaker have a free tier?
Yes, the free tier includes 250 hours of notebook usage, 50 hours of training, and 125 hours of hosting on ml.t3.medium instances during the first two months.
SourceRelated pages
More on AWS SageMaker
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