Education & E-Learning · head to head
360Learning vs AWS SageMaker

360Learning
Education & E-Learning
Collaborative learning that transforms L&D
- From
- On request
- Rated
- -

AWS SageMaker
Machine Learning & Data Science
Build, train, and deploy machine learning models at scale
- From
- Free
- Rated
- -
The short version
- Only AWS SageMaker has a free tier, so it costs nothing to try first.
- Each has a real cost: 360Learning the published Team plan at $8 per user per month covers up to 100 users; beyond that pricing is custom; AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult
- They diverge on capability: 360Learning covers Collaborative authoring, AWS SageMaker covers Jupyter notebooks.
Where they differ
Only the attributes on which 360Learning and AWS SageMaker actually diverge.
| Attribute | 360Learning | AWS SageMaker |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | subscription | Unknown |
| Free tier | No | Yes |
| Platforms | Web, IOS, Android, API | Web |
| Category | Education & E-Learning | Machine Learning & Data Science |
| Founded | 2010 | 2006 |
Identical on both: 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 360Learning
- Collaborative authoring
- AI-powered recommendations
- Social learning
- Assessments
- Mobile learning
- Analytics
- Integrations
- Gamification
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.
360Learning
- Collaborative course authoring by internal subject matter expertsnot AWS SageMaker
- Onboarding and compliance training deliverynot AWS SageMaker
- Upskilling programmes tracked across a workforcenot AWS SageMaker
- Customer and partner trainingnot AWS SageMaker
AWS SageMaker
- Machine learningnot 360Learning
- Data analysisnot 360Learning
- Model trainingnot 360Learning
- Predictive analyticsnot 360Learning
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
360Learning
- The published Team plan at $8 per user per month covers up to 100 users; beyond that pricing is custom
- Business and Enterprise pricing is not published
- Priority SLA, dedicated technical support and premium onboarding are Enterprise only
- Business and Enterprise plans are typically annual contracts rather than monthly
AWS SageMaker
- Vendor lock-in to AWS ecosystem makes migration to other platforms difficult
- Opaque pricing can lead to unexpected expenses like forgotten EBS volume charges
- Does not include native job scheduling, requiring Lambda or EventBridge integration
Pricing, plan by plan
360Learning
On request- Team$undefined/month
- Collaborative authoring
- Course library
- Reporting
- Business$undefined/month
- All Team
- Integrations
- Advanced analytics
- Enterprise$undefined/month
- All Business
- Custom development
- Dedicated success
AWS SageMaker
FreeNo published plan breakdown. See the AWS SageMaker review.
Which should you pick?
Choose 360Learning if
- You need collaborative authoring.
- You work on Web, IOS, Android, API.
- You also want ai-powered recommendations.
Choose AWS SageMaker if
- You need jupyter notebooks.
- You want to start without paying.
- You also want built-in algorithms.
Questions people ask
- Is 360Learning or AWS SageMaker better?
- Neither clearly leads. 360Learning starts at On request and AWS SageMaker at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, 360Learning or AWS SageMaker?
- AWS SageMaker has a free tier; the other does not. Paid plans start at On request for 360Learning and Free for AWS SageMaker.
- Does 360Learning or AWS SageMaker run on more platforms?
- 360Learning runs on Web, IOS, Android, API. AWS SageMaker runs on Web.
- Can I use AWS SageMaker for free?
- Yes. AWS SageMaker has a free tier, so you can try it without paying. 360Learning starts at On request.
- What is 360Learning best used for?
- 360Learning is most often used for collaborative course authoring by internal subject matter experts, onboarding and compliance training delivery, upskilling programmes tracked across a workforce, customer and partner training. Of those, collaborative course authoring by internal subject matter experts and onboarding and compliance training delivery are not what AWS SageMaker is typically brought in for.
- What can 360Learning do that AWS SageMaker cannot?
- 360Learning covers Collaborative authoring, AI-powered recommendations, Social learning, Assessments. 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 360Learning
More on AWS SageMaker
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- AWS SageMaker vs Open edX
- AWS SageMaker vs Google Vertex AI
- AWS SageMaker vs Azure Machine Learning
- AWS SageMaker vs DataRobot
- AWS SageMaker vs Snowflake
- AWS SageMaker vs TensorFlow
- AWS SageMaker vs Comet ML
- AWS SageMaker vs Keras
- AWS SageMaker vs MLflow
- AWS SageMaker vs Jupyter
- AWS SageMaker vs PyTorch
- AWS SageMaker vs scikit-learn
- AWS SageMaker vs Apache Spark MLlib
- AWS SageMaker vs Weights & Biases
- AWS SageMaker vs Alteryx
- AWS SageMaker vs Anaconda
- AWS SageMaker vs Databricks
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