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Machine Learning · head to head

AWS SageMaker vs Braintrust

AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
Braintrust logo

Braintrust

Software Development

The active observability platform for agents

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; Braintrust enterprise plan pricing not published, requires custom quote

Where they differ

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

Attributes where AWS SageMaker and Braintrust differ
AttributeAWS SageMakerBraintrust
Pricing modelUnknownfreemium
CategoryMachine LearningSoftware Development
Founded2006Unknown

Identical on both: starting price (Free), free tier (Yes), platforms (Web), 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 Braintrust

Nothing recorded that AWS SageMaker does not also cover.

What people use each for

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

AWS SageMaker

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

Braintrust

  • Monitoring production AI agents for qualitynot AWS SageMaker
  • Detecting patterns in agent failuresnot AWS SageMaker
  • Defining quality expectations before shipping agentsnot AWS SageMaker
  • Tracking prompts and tool calls in productionnot 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

Braintrust

  • Enterprise plan pricing not published, requires custom quote
  • Pro plan includes 6-12 months free discount for startups only

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Braintrust

Free
  • StarterFree
    • $10 model credits monthly included
    • 1 GB processed data monthly
    • 10000 scores monthly
  • Pro$249/month
    • $249 model credits monthly included
    • 5 GB processed data monthly
    • 50000 scores monthly
  • Enterprise$null/month
    • Custom data retention and export capabilities
    • RBAC and premium support
    • On-premises or hosted solutions available

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 Braintrust if

  • You want to start without paying.
Braintrust review

Questions people ask

Is AWS SageMaker or Braintrust better?
Neither clearly leads. AWS SageMaker starts at Free and Braintrust at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or Braintrust?
AWS SageMaker starts at Free and Braintrust at Free.
Does AWS SageMaker or Braintrust run on more platforms?
Both run on Web, so platform support will not decide this one for you.
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 Braintrust is typically brought in for.
What can AWS SageMaker do that Braintrust cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment.

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
Braintrust: Does Braintrust have a free plan?

Braintrust Starter plan is free and includes $10 model credits monthly, 1 GB processed data, 10000 scores monthly, and 14-day data retention with unlimited users and projects. No credit card required.

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
Braintrust: How much does the Braintrust Pro plan cost?

Braintrust Pro plan costs $249 per month and includes $249 model credits, 5 GB processed data, 50000 scores monthly, and 30-day data retention. Qualifying startups receive 6-12 months free.

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
Braintrust: What are Braintrust's overage charges?

Braintrust charges overage rates after monthly allocations: model credits beyond monthly allotment are charged at token rates, data overage is $4 per GB on Starter or $3 per GB on Pro, scores overage is $2.50 per 1000 on Starter or $1.50 per 1000 on Pro. Extended data retention beyond the included period costs $0.50 per GB per month.

Source
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