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AWS SageMaker vs Brilliant

AWS SageMaker logo

AWS SageMaker

Software

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
Brilliant logo

Brilliant

Software

Learn math and science through problem-solving

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; Brilliant requires active daily engagement to maintain learning streaks, which can feel gamified
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, Brilliant covers Interactive lessons.

Where they differ

Only the attributes on which AWS SageMaker and Brilliant actually diverge.

Attributes where AWS SageMaker and Brilliant differ
AttributeAWS SageMakerBrilliant
PlatformsWebWeb, iOS, Android
Founded20062012

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

  • Interactive lessons
  • Problem-solving
  • Daily challenges
  • Progress tracking
  • Guided paths
  • Offline access
  • Mobile learning
  • Mobile apps

Both cover

  • Web support

What people use each for

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

AWS SageMaker

  • Machine learningnot Brilliant
  • Data analysisnot Brilliant
  • Model trainingnot Brilliant
  • Predictive analyticsnot Brilliant

Brilliant

  • Math learningnot AWS SageMaker
  • Science educationnot AWS SageMaker
  • Programming basicsnot AWS SageMaker
  • Problem-solving skillsnot 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

Brilliant

  • Requires active daily engagement to maintain learning streaks, which can feel gamified
  • Premium subscription needed for full course access; basic free tier is limited
  • Focuses only on STEM subjects; no humanities or social sciences
  • Interactive nature requires more time commitment than passive video learning

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Brilliant

Free
  • Premium Monthly$24.99/month
    • Access to all 90+ courses
    • No ads
  • Premium Annual$150/year
    • Access to all 90+ courses
    • No ads

Which should you pick?

Choose AWS SageMaker if

  • You need jupyter notebooks.
  • You want to start without paying.
  • You also want built-in algorithms.
AWS SageMaker review

Choose Brilliant if

  • You need interactive lessons.
  • You want to start without paying.
  • You work on Web, iOS, Android.
  • You also want problem-solving.
Brilliant review

Questions people ask

Is AWS SageMaker or Brilliant better?
Neither clearly leads. AWS SageMaker starts at Free and Brilliant at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or Brilliant?
AWS SageMaker starts at Free and Brilliant at Free.
Does AWS SageMaker or Brilliant run on more platforms?
AWS SageMaker runs on Web. Brilliant 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 Brilliant is typically brought in for.
What can AWS SageMaker do that Brilliant cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Brilliant covers Interactive lessons, Problem-solving, Daily challenges, Progress tracking. 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
Brilliant: Does Brilliant offer offline learning?

Yes. The Brilliant mobile app allows users to download lessons and learn without internet connection.

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
Brilliant: Is there a free tier for Brilliant?

Yes. Brilliant offers a free basic tier with access to some courses. K-12 teachers and their students can qualify for free Premium access.

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
Brilliant: What subject areas does Brilliant cover?

Brilliant covers over 90 courses across mathematics, computer science, physics, chemistry, and data science, taught by experts from MIT, Harvard, Google, and Microsoft.

Source
Brilliant: How does Brilliant's teaching approach differ from video lectures?

Brilliant emphasizes active learning through interactive problem-solving rather than passive video watching, similar to Duolingo's gamified approach.

Source
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