Softwr

Machine Learning & Data Science · head to head

Azure Machine Learning vs Domino Data Lab

Azure Machine Learning logo

Azure Machine Learning

Machine Learning & Data Science

Enterprise-grade machine learning service

From
Free
Rated
-
Domino Data Lab logo

Domino Data Lab

Machine Learning & Data Science

Enterprise MLOps platform

From
Free
Rated
-

The short version

  • Each has a real cost: Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services; 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: Azure Machine Learning covers Automated ML, Domino Data Lab covers Reproducible environments.

Where they differ

Only the attributes on which Azure Machine Learning and Domino Data Lab actually diverge.

Attributes where Azure Machine Learning and Domino Data Lab differ
AttributeAzure Machine LearningDomino Data Lab
Pricing modelusage-basedsubscription
PlatformsAzure CloudWeb
Founded19752013

Identical on both: starting price (Free), free tier (Yes), 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 Azure Machine Learning

  • Automated ML
  • Designer (drag-and-drop)
  • Notebooks
  • MLOps
  • Azure Blob Storage
  • Azure DevOps
  • Power BI
  • Synapse Analytics

Only in Domino Data Lab

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

Both cover

  • Model registry
  • Web support

What people use each for

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

Azure Machine Learning

  • 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 Azure Machine Learning
  • Deploying and monitoring models with governance controlsnot Azure Machine Learning
  • Giving regulated enterprises a self managed MLOps platformnot Azure Machine Learning

Where each one falls short

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

Azure Machine Learning

  • Requires knowledge of Azure ecosystem and integration with other Azure services
  • Compute resources for training and inference generate separate charges

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

Azure Machine Learning

Free
  • Free TierFree
    • Limited compute
    • Basic features
  • Pay-as-you-go$0.05/hour
    • Full platform
    • All compute options
    • Enterprise features

Domino Data Lab

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

Which should you pick?

Choose Azure Machine Learning if

  • You need automated ml.
  • You want to start without paying.
  • You work on Azure Cloud.
  • You also want designer (drag-and-drop).

Choose Domino Data Lab if

  • You need reproducible environments.
  • You want to start without paying.
  • You also want model monitoring.

Questions people ask

Is Azure Machine Learning or Domino Data Lab better?
Neither clearly leads. Azure Machine Learning 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, Azure Machine Learning or Domino Data Lab?
Azure Machine Learning starts at Free and Domino Data Lab at Free.
Does Azure Machine Learning or Domino Data Lab run on more platforms?
Azure Machine Learning runs on Azure Cloud. Domino Data Lab runs on Web.
Can I use Azure Machine Learning for free?
Both have a free tier, so you can try either at no cost before committing.
What is Azure Machine Learning best used for?
Azure Machine Learning 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 Azure Machine Learning do that Domino Data Lab cannot?
Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps. Domino Data Lab covers Reproducible environments, Model monitoring, Collaboration, Governance. Both handle Model registry, Web support.

Answered from the vendors’ own pages

Azure Machine Learning: Does Azure Machine Learning have any platform licensing fees?

No, Azure Machine Learning carries no extra cost. You only pay for the underlying compute resources utilized during model training or inference.

Source
Azure Machine Learning: What AutoML capabilities does Azure Machine Learning provide?

Azure Machine Learning supports automated model creation for classification, regression, vision, and natural language processing tasks.

Source
Azure Machine Learning: Does Azure ML support language model fine-tuning?

Yes, Azure Machine Learning supports fine-tuning of foundation models from providers including OpenAI, Meta, Hugging Face, and Cohere.

Source
Azure Machine Learning: What MLOps features are included?

Azure ML includes end-to-end pipeline automation with CI/CD capabilities, managed endpoints for model deployment, and monitoring tools.

Source
Azure Machine Learning: Can I access foundation models from multiple vendors?

Yes, Azure Machine Learning provides access to a model catalog with foundation models from Microsoft, OpenAI, Hugging Face, Meta, and Cohere.

Source

Related pages

Other head to heads