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Machine Learning & Data Science · head to head

AWS SageMaker vs Domino Data Lab

AWS SageMaker logo

AWS SageMaker

Machine Learning & Data Science

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
Domino Data Lab logo

Domino Data Lab

Machine Learning & Data Science

Enterprise MLOps platform

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; Domino Data Lab pricing is by quote only: the pricing page publishes no rate and no minimum, and the tier breakdown is behind a downloadable datasheet form
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, Domino Data Lab covers Reproducible environments.

Where they differ

Only the attributes on which AWS SageMaker and Domino Data Lab actually diverge.

Attributes where AWS SageMaker and Domino Data Lab differ
AttributeAWS SageMakerDomino Data Lab
Pricing modelUnknownsubscription
Founded20062013

Identical on both: starting price (Free), free tier (Yes), platforms (Web), user rating (Not yet rated), category (Machine Learning & Data Science).

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
  • S3
  • Lambda
  • Step Functions
  • CloudWatch

Only in Domino Data Lab

  • Reproducible environments
  • Model registry
  • Collaboration
  • Governance
  • AWS
  • Azure
  • GCP
  • Kubernetes

Both cover

  • Model monitoring
  • Web support

What people use each for

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

AWS SageMaker

  • Machine learningnot Domino Data Lab
  • Data analysisnot Domino Data Lab
  • Model trainingnot Domino Data Lab
  • Predictive analyticsnot Domino Data Lab

Domino Data Lab

  • Running reproducible data science workspaces and experiments on shared computenot AWS SageMaker
  • Deploying and monitoring models with governance controlsnot AWS SageMaker
  • Giving regulated enterprises a self managed MLOps platformnot 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

Domino Data Lab

  • Pricing is by quote only: the pricing page publishes no rate and no minimum, and the tier breakdown is behind a downloadable datasheet form
  • Licensing is split by user type, with separate data science professional, data analyst, service account and admin licences
  • FinOps, Nexus and Governance are paid add on modules rather than part of the platform
  • Support level is a separate priced choice
  • Self managed VPC or on premises deployment requires the Premium tier or higher
  • No free trial is offered on the pricing page

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Domino Data Lab

Free
  • TrialFree
    • 14-day trial
    • Full features
  • EnterpriseFree
    • Full platform
    • Enterprise support
    • SLA

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 Domino Data Lab if

  • You need reproducible environments.
  • You want to start without paying.
  • You also want model registry.
Domino Data Lab review

Questions people ask

Is AWS SageMaker or Domino Data Lab better?
Neither clearly leads. AWS SageMaker starts at Free and Domino Data Lab at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or Domino Data Lab?
AWS SageMaker starts at Free and Domino Data Lab at Free.
Does AWS SageMaker or Domino Data Lab 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 Domino Data Lab is typically brought in for.
What can AWS SageMaker do that Domino Data Lab cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Domino Data Lab covers Reproducible environments, Model registry, Collaboration, Governance. Both handle Model monitoring, 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
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
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
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