Software · head to head
AWS SageMaker vs Minitab
AWS SageMaker
Software
Build, train, and deploy machine learning models at scale
- From
- Free
- Rated
- -
The short version
- Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; Minitab pricing is by quote only: the pricing page is an inquiry form and publishes no rate, no seat price and no minimum
- They diverge on capability: AWS SageMaker covers Jupyter notebooks, Minitab covers Statistical analysis.
Where they differ
Only the attributes on which AWS SageMaker and Minitab actually diverge.
| Attribute | AWS SageMaker | Minitab |
|---|---|---|
| Pricing model | Unknown | subscription |
| Platforms | Web | Mac, Windows, Web |
| Founded | 2006 | 1972 |
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 AWS SageMaker
- Jupyter notebooks
- Built-in algorithms
- Automatic model tuning
- One-click deployment
- Model monitoring
- S3
- Lambda
- Step Functions
Only in Minitab
- Statistical analysis
- Quality tools
- Regression analysis
- Control charts
- Design of experiments
- Excel
- Python
- R
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
AWS SageMaker
- Machine learningnot Minitab
- Data analysisnot Minitab
- Model trainingnot Minitab
- Predictive analyticsnot Minitab
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
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
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
Pricing, plan by plan
AWS SageMaker
FreeNo published plan breakdown. See the AWS SageMaker review.
Minitab
Free- TrialFree
- 7-day trial
- Full features
- Single User$29/month
- Full Minitab
- All features
Which should you pick?
Choose AWS SageMaker if
- You need jupyter notebooks.
- You want to start without paying.
- You also want built-in algorithms.
Choose Minitab if
- You need statistical analysis.
- You want to start without paying.
- You work on Mac, Windows, Web.
- You also want quality tools.
Questions people ask
- Is AWS SageMaker or Minitab better?
- Neither clearly leads. AWS SageMaker starts at Free and Minitab at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, AWS SageMaker or Minitab?
- AWS SageMaker starts at Free and Minitab at Free.
- Does AWS SageMaker or Minitab run on more platforms?
- AWS SageMaker runs on Web. Minitab runs on Mac, Windows, Web.
- Can I use AWS SageMaker for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is AWS SageMaker best used for?
- AWS SageMaker is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Minitab is typically brought in for.
- What can AWS SageMaker do that Minitab cannot?
- AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Minitab covers Statistical analysis, Quality tools, Regression analysis, Control charts. 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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