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Machine Learning & Data Science · head to head

Domino Data Lab vs Amazon Redshift ML

Domino Data Lab logo

Domino Data Lab

Machine Learning & Data Science

Enterprise MLOps platform

From
Free
Rated
-
Full reviewWebsite
Amazon Redshift ML logo

Amazon Redshift ML

Machine Learning & Data Science

Create machine learning models using SQL

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: 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; 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
  • They diverge on capability: Domino Data Lab covers Reproducible environments, Amazon Redshift ML covers SQL-based ML.

Where they differ

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

Attributes where Domino Data Lab and Amazon Redshift ML differ
AttributeDomino Data LabAmazon Redshift ML
Pricing modelsubscriptionusage-based
Founded20132006

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 Domino Data Lab

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

Only in Amazon Redshift ML

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

Both cover

  • Web support

What people use each for

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

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

Amazon Redshift ML

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

Where each one falls short

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

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

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

Pricing, plan by plan

Domino Data Lab

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

Amazon Redshift ML

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

Which should you pick?

Choose Domino Data Lab if

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

Choose Amazon Redshift ML if

  • You need sql-based ml.
  • You want to start without paying.
  • You also want automl.
Amazon Redshift ML review

Questions people ask

Is Domino Data Lab or Amazon Redshift ML better?
Neither clearly leads. Domino Data Lab starts at Free and Amazon Redshift ML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Domino Data Lab or Amazon Redshift ML?
Domino Data Lab starts at Free and Amazon Redshift ML at Free.
Does Domino Data Lab or Amazon Redshift ML run on more platforms?
Both run on Web, so platform support will not decide this one for you.
Can I use Domino Data Lab for free?
Both have a free tier, so you can try either at no cost before committing.
What is Domino Data Lab best used for?
Domino Data Lab is most often used for running reproducible data science workspaces and experiments on shared compute, deploying and monitoring models with governance controls, giving regulated enterprises a self managed mlops platform. Of those, running reproducible data science workspaces and experiments on shared compute and deploying and monitoring models with governance controls are not what Amazon Redshift ML is typically brought in for.
What can Domino Data Lab do that Amazon Redshift ML cannot?
Domino Data Lab covers Reproducible environments, Model registry, Model monitoring, Collaboration. Amazon Redshift ML covers SQL-based ML, AutoML, SageMaker integration, BYOM support. Both handle Web support.
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