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Domino Data Lab vs Google Vertex AI

Domino Data Lab logo

Domino Data Lab

Software

Enterprise MLOps platform

From
Free
Rated
-
Full reviewWebsite
Google Vertex AI logo

Google Vertex AI

Software

Unified ML platform to build, deploy, and scale AI models

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Domino Data Lab has a free tier, so it costs nothing to try first.
  • 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; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • They diverge on capability: Domino Data Lab covers Reproducible environments, Google Vertex AI covers AutoML.

Where they differ

Only the attributes on which Domino Data Lab and Google Vertex AI actually diverge.

Attributes where Domino Data Lab and Google Vertex AI differ
AttributeDomino Data LabGoogle Vertex AI
Starting priceFreeOn request
Pricing modelsubscriptionUnknown
Free tierYesNo
PlatformsWebCloud, Web
Founded20132008

Identical on both: user rating (Not yet rated), category (Unknown).

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
  • Collaboration
  • Governance
  • AWS
  • Azure
  • GCP
  • Kubernetes

Only in Google Vertex AI

  • AutoML
  • Custom training
  • Feature Store
  • Prediction serving
  • BigQuery
  • Cloud Storage
  • TensorFlow
  • PyTorch

Both cover

  • Model monitoring
  • 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 Google Vertex AI
  • Deploying and monitoring models with governance controlsnot Google Vertex AI
  • Giving regulated enterprises a self managed MLOps platformnot Google Vertex AI

Google Vertex AI

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

Google Vertex AI

  • Vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • Requires familiarity with Google Cloud Platform infrastructure and concepts
  • Cost can escalate quickly with large training and inference workloads

Pricing, plan by plan

Domino Data Lab

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

Google Vertex AI

On request

No published plan breakdown. See the Google Vertex AI review.

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 Google Vertex AI if

  • You need automl.
  • You work on Cloud, Web.
  • You also want custom training.
Google Vertex AI review

Questions people ask

Is Domino Data Lab or Google Vertex AI better?
Neither clearly leads. Domino Data Lab starts at Free and Google Vertex AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Domino Data Lab or Google Vertex AI?
Domino Data Lab has a free tier; the other does not. Paid plans start at Free for Domino Data Lab and On request for Google Vertex AI.
Does Domino Data Lab or Google Vertex AI run on more platforms?
Domino Data Lab runs on Web. Google Vertex AI runs on Cloud, Web.
Can I use Domino Data Lab for free?
Yes. Domino Data Lab has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
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 Google Vertex AI is typically brought in for.
What can Domino Data Lab do that Google Vertex AI cannot?
Domino Data Lab covers Reproducible environments, Model registry, Collaboration, Governance. Google Vertex AI covers AutoML, Custom training, Feature Store, Prediction serving. Both handle Model monitoring, Web support.

Answered from the vendors’ own pages

Google Vertex AI: What is the pricing model for Google Vertex AI?

Vertex AI uses a pay-as-you-go model with no upfront costs or lock-in fees. Costs vary by service: training is billed by compute resources and time (30-second increments), online predictions by machine type per hour, and batch predictions by compute time or per-record for specific AutoML types.

Source
Google Vertex AI: What types of data can Vertex AI handle?

Vertex AI supports image, video, text, and tabular data types with tools for uploading, storing, and managing large datasets.

Source
Google Vertex AI: Does Vertex AI support custom model training?

Yes. Vertex AI supports both AutoML for automated machine learning and custom training code in Python, R, and other languages.

Source
Google Vertex AI: What deployment options are available in Vertex AI?

Vertex AI supports online predictions for real-time use cases and batch predictions for large-scale processing.

Source
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