Machine Learning · head to head
AWS SageMaker vs OnShape

AWS SageMaker
Machine Learning
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; OnShape the free plan is non commercial only and makes every document publicly accessible, so nothing designed on it can be kept private
- They diverge on capability: AWS SageMaker covers Jupyter notebooks, OnShape covers Cloud-native CAD.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which AWS SageMaker and OnShape actually diverge.
| Attribute | AWS SageMaker | OnShape |
|---|---|---|
| Pricing model | Unknown | subscription |
| Platforms | Web | Web, IOS, Android |
| Category | Machine Learning | CAD |
| Founded | 2006 | 2012 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 OnShape
- Cloud-native CAD
- Real-time collaboration
- Version control
- Part studios
- Assemblies
- Drawings
- FeatureScript
- Mobile access
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
AWS SageMaker
- Machine learningnot OnShape
- Data analysisnot OnShape
- Model trainingnot OnShape
- Predictive analyticsnot OnShape
OnShape
- Cloud based parametric CAD without local workstation installsnot AWS SageMaker
- Collaborative mechanical design with version history and shared documentsnot 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
OnShape
- The free plan is non commercial only and makes every document publicly accessible, so nothing designed on it can be kept private
- The Standard plan is $1,500 per user per year and Professional $2,500
- Simulation, rendering, CAM and advanced PDM all require the Professional plan
- SSO, analytics and advanced administration are Enterprise only with no published price
Pricing, plan by plan
AWS SageMaker
FreeNo published plan breakdown. See the AWS SageMaker review.
OnShape
Free- FreeFree
- Limited features
- Public documents
- Standard$1500/month
- Private documents
- Full features
- Professional$2100/month
- Advanced simulation
- Enterprise 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 OnShape if
- You need cloud-native cad.
- You want to start without paying.
- You work on Web, IOS, Android.
- You also want real-time collaboration.
Questions people ask
- Is AWS SageMaker or OnShape better?
- Neither clearly leads. AWS SageMaker starts at Free and OnShape at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, AWS SageMaker or OnShape?
- AWS SageMaker starts at Free and OnShape at Free.
- Does AWS SageMaker or OnShape run on more platforms?
- AWS SageMaker runs on Web. OnShape runs on Web, IOS, Android.
- 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 OnShape is typically brought in for.
- What can AWS SageMaker do that OnShape cannot?
- AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. OnShape covers Cloud-native CAD, Real-time collaboration, Version control, Part studios. 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.
SourceOnShape: How much does Onshape cost?
Onshape Standard is $1,500 per user per year and Professional is $2,500 per user per year, both billed annually. Enterprise is quoted by sales. A free plan exists for non-commercial use.
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.
SourceOnShape: Is the free version of Onshape usable for commercial work?
No. Onshape states the free plan is for non-commercial use only, and every document created on it is publicly accessible. Private storage requires the Standard plan at $1,500 per user per year.
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.
SourceOnShape: What does Onshape Professional add over Standard?
Professional adds company managed data, release management, advanced PDM, simulation, rendering, ECAD to MCAD exchange and CAM, for $2,500 per user per year against $1,500 for Standard.
SourceOnShape: Can I try Onshape Professional for free?
Onshape states that qualified professionals can try Onshape Professional free for up to 6 months through its Discovery Program, with no credit card required.
SourceRelated pages
More on AWS SageMaker
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- OnShape vs Comet ML
- OnShape vs Dataiku
- OnShape vs TensorFlow
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- OnShape vs DVC
- OnShape vs KNIME
- OnShape vs LangChain
- OnShape vs Palantir Foundry
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- OnShape vs Python
- OnShape vs Altium 365
- OnShape vs Enscape
- OnShape vs KeyShot
- OnShape vs COMSOL Multiphysics
- OnShape vs FreeCAD
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- OnShape vs V-Ray
- OnShape vs SolveSpace
- OnShape vs MoI (Moment of Inspiration)
- OnShape vs Lumion
- OnShape vs Twinmotion
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- OnShape vs Tinkercad
- OnShape vs Vectorworks
- OnShape vs Houdini
- OnShape vs ZBrush

