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Machine Learning · head to head

AWS SageMaker vs Factory

AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
Factory logo

Factory

Software Development

The autonomy stack for enterprise teams

From
$20/month
Rated
-
Full reviewWebsite

The short version

  • Only AWS SageMaker has a free tier, so it costs nothing to try first.
  • Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; Factory business and Enterprise plans require direct sales contact for pricing

Where they differ

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

Attributes where AWS SageMaker and Factory differ
AttributeAWS SageMakerFactory
Starting priceFree$20/month
Pricing modelUnknownsubscription
Free tierYesNo
CategoryMachine LearningSoftware Development
Founded2006Unknown

Identical on both: 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 Factory

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 Factory
  • Data analysisnot Factory
  • Model trainingnot Factory
  • Predictive analyticsnot Factory

Factory

  • AI agent development and deploymentnot AWS SageMaker
  • Multi-platform automationnot AWS SageMaker
  • Background task executionnot AWS SageMaker
  • Agent orchestrationnot 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

Factory

  • Business and Enterprise plans require direct sales contact for pricing
  • Individual plans (Pro, Plus, Max) have limited feature details

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Factory

$20/month
  • Pro$20/month
    • Agent-native multi-platform experience
    • Desktop, CLI, and SDK access
    • Cloud and local background agents
  • Plus$100/month
    • Everything in Pro
    • Approximately 5x usage limits
    • Droid Computers for remote agents
  • Max$200/month
    • Everything in Plus
    • Approximately 10x usage limits
    • Early access to new features
  • Business$null/mo

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 Factory if

Nothing in the data separates Factory from AWS SageMaker on the points above - pick on price and on how each one feels to use.

Factory review

Questions people ask

Is AWS SageMaker or Factory better?
Neither clearly leads. AWS SageMaker starts at Free and Factory at $20/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or Factory?
AWS SageMaker has a free tier; the other does not. Paid plans start at Free for AWS SageMaker and $20/month for Factory.
Does AWS SageMaker or Factory 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?
Yes. AWS SageMaker has a free tier, so you can try it without paying. Factory starts at $20/month.
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 Factory is typically brought in for.
What can AWS SageMaker do that Factory 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
Factory: What is Factory.ai's pricing?

Factory.ai offers individual plans starting at USD$20 per month for Pro, USD$100 per month for Plus, and USD$200 per month for Max. Team plans including Business and Enterprise tiers are available at custom pricing based on the number of seats 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
Factory: What are the usage limits for each plan?

The Pro plan is the baseline tier. Plus provides approximately 5 times the usage limits of Pro, while Max provides approximately 10 times the usage limits of Pro. Exact usage limits are not specified on the pricing page.

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
Factory: What AI models are included with Factory.ai?

All Factory.ai plans include access to GPT-5, Claude Opus and Sonnet, Google Gemini, and open-weight models. Business and Enterprise plans also include dedicated compute with partitioned inference and options for on-premise deployment.

Source
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