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Machine Learning & Data Science · head to head

Amazon Redshift ML vs Domino Data Lab

Amazon Redshift ML logo

Amazon Redshift ML

Machine Learning & Data Science

Create machine learning models using SQL

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: Amazon Redshift ML free tier covers only two CREATE MODEL requests per month for two months, capped at 100,000 cells per request; beyond that training is metered at $20 per million cells for the first 10 million, dropping in tiers to $7 per million cells over 100 million; 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: Amazon Redshift ML covers SQL-based ML, Domino Data Lab covers Reproducible environments.

Where they differ

Only the attributes on which Amazon Redshift ML and Domino Data Lab actually diverge.

Attributes where Amazon Redshift ML and Domino Data Lab differ
AttributeAmazon Redshift MLDomino Data Lab
Pricing modelusage-basedsubscription
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 Amazon Redshift ML

  • SQL-based ML
  • AutoML
  • SageMaker integration
  • BYOM support
  • In-database predictions
  • Amazon Redshift
  • SageMaker
  • S3

Only in Domino Data Lab

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

Both cover

  • Web support

What people use each for

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

Amazon Redshift ML

  • Training and running machine learning models directly from SQL inside Amazon Redshiftnot Domino Data Lab

Domino Data Lab

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

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Amazon Redshift ML

  • Free tier covers only two CREATE MODEL requests per month for two months, capped at 100,000 cells per request; beyond that training is metered at $20 per million cells for the first 10 million, dropping in tiers to $7 per million cells over 100 million

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

Amazon Redshift ML

Free
  • Free TrialFree
    • 2-month trial
    • 750 DC2.Large hours
  • On-Demand$0.25/hour
    • Per-node pricing
    • SageMaker training

Domino Data Lab

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

Which should you pick?

Choose Amazon Redshift ML if

  • You need sql-based ml.
  • You want to start without paying.
  • You also want automl.
Amazon Redshift ML 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 Amazon Redshift ML or Domino Data Lab better?
Neither clearly leads. Amazon Redshift ML 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, Amazon Redshift ML or Domino Data Lab?
Amazon Redshift ML starts at Free and Domino Data Lab at Free.
Does Amazon Redshift ML 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 Amazon Redshift ML for free?
Both have a free tier, so you can try either at no cost before committing.
What is Amazon Redshift ML best used for?
Amazon Redshift ML is most often used for training and running machine learning models directly from sql inside amazon redshift. Of those, training and running machine learning models directly from sql inside amazon redshift is not what Domino Data Lab is typically brought in for.
What can Amazon Redshift ML do that Domino Data Lab cannot?
Amazon Redshift ML covers SQL-based ML, AutoML, SageMaker integration, BYOM support. Domino Data Lab covers Reproducible environments, Model registry, Model monitoring, Collaboration. Both handle Web support.
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