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Machine Learning · head to head

AWS SageMaker vs Power BI

AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Power BI logo

Power BI

Business Intelligence

Business analytics by Microsoft

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; Power BI free tier cannot publish or share reports; Pro tier required for collaboration
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, Power BI covers AI-powered Insights.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which AWS SageMaker and Power BI actually diverge.

Attributes where AWS SageMaker and Power BI differ
AttributeAWS SageMakerPower BI
PlatformsWebWeb, Desktop, Mobile
CategoryMachine LearningBusiness Intelligence
Founded20061975

Identical on both: starting price (Free), pricing model (Unknown), 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 Power BI

  • AI-powered Insights
  • Natural Language Queries
  • Real-time Dashboards
  • Paginated Reports
  • Mobile Apps
  • Excel
  • Azure
  • Dynamics 365

Both cover

  • Web support

What people use each for

The jobs each tool is most often brought in to do.

AWS SageMaker

  • Machine learningnot Power BI
  • Data analysisnot Power BI
  • Model trainingnot Power BI
  • Predictive analyticsnot Power BI

Power BI

  • Self-service analyticsnot AWS SageMaker
  • Data explorationnot AWS SageMaker
  • Ad-hoc reportingnot AWS SageMaker
  • Collaborative analysisnot AWS SageMaker
  • Embedded analyticsnot 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

Power BI

  • Free tier cannot publish or share reports; Pro tier required for collaboration
  • Free tier cannot schedule automatic data refreshes
  • Offline capabilities limited to local Power BI Desktop; cloud service always requires internet
  • Data refresh capped at 8 times per day on Pro tier without Premium Per User

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Power BI

Free
  • FreeFree
    • Local report creation in Power BI Desktop
    • Cannot publish or share
    • No scheduled refreshes
  • Power BI Pro$14/user/month
    • Publish and share reports
    • Up to 8 scheduled refreshes/day
    • Collaborate with other Pro users
  • Premium Per User$24/user/month
    • All Pro features
    • Up to 48 scheduled refreshes/day
    • Copilot integration

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 Power BI if

  • You need ai-powered insights.
  • You want to start without paying.
  • You work on Web, Desktop, Mobile.
  • You also want natural language queries.

Questions people ask

Is AWS SageMaker or Power BI better?
Neither clearly leads. AWS SageMaker starts at Free and Power BI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or Power BI?
AWS SageMaker starts at Free and Power BI at Free.
Does AWS SageMaker or Power BI run on more platforms?
AWS SageMaker runs on Web. Power BI runs on Web, Desktop, Mobile.
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 Power BI is typically brought in for.
What can AWS SageMaker do that Power BI cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Power BI covers AI-powered Insights, Natural Language Queries, Real-time Dashboards, Paginated Reports. 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.

Source
Power BI: Can I use Power BI Desktop offline?

Power BI Desktop runs locally and can edit reports offline, but publishing to the service and refreshing cloud data sources requires internet connection. Offline reports show cached data from the last refresh.

Source
AWS 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.

Source
Power BI: What are the data refresh limits for each tier?

Power BI Premium Per User allows up to 48 scheduled refreshes per day, while Pro tier is limited to 8 scheduled refreshes per day. Free tier cannot schedule automatic refreshes.

Source
AWS 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.

Source
Power BI: Can I use Power BI Free with shared data sources?

Free tier users can create local reports in Power BI Desktop but cannot publish to the Power BI Service for collaboration. Publishing requires Power BI Pro ($14/user/month).

Source
Power BI: Is SSO available and on which plan?

SSO is available on Power BI Premium Per User ($24/user/month) and Fabric capacity plans through Azure AD integration.

Source
Power BI: What does Copilot require in Power BI?

Copilot for natural language queries and automatic report generation requires Power BI Premium Per User or Fabric capacity pricing, not available on Pro or Free tiers.

Source
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