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Machine Learning · head to head

Google Vertex AI vs Power BI

Google Vertex AI logo

Google Vertex AI

Machine Learning

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

From
On request
Rated
-
Full reviewWebsite
Power BI logo

Power BI

Business Intelligence

Business analytics by Microsoft

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Power BI has a free tier, so it costs nothing to try first.
  • Each has a real cost: Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult; Power BI free tier cannot publish or share reports; Pro tier required for collaboration
  • They diverge on capability: Google Vertex AI covers AutoML, Power BI covers AI-powered Insights.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Google Vertex AI and Power BI actually diverge.

Attributes where Google Vertex AI and Power BI differ
AttributeGoogle Vertex AIPower BI
Starting priceOn requestFree
Free tierNoYes
PlatformsCloud, WebWeb, Desktop, Mobile
CategoryMachine LearningBusiness Intelligence
Founded20081975

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

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 Google Vertex AI

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

Only in Power BI

  • AI-powered Insights
  • Natural Language Queries
  • Real-time Dashboards
  • Paginated Reports
  • Mobile Apps
  • Excel
  • Azure
  • Dynamics 365

Both cover

  • Web support

What people use each for

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

Google Vertex AI

  • Machine learningnot Power BI
  • Data analysisnot Power BI
  • Model trainingnot Power BI
  • Predictive analyticsnot Power BI

Power BI

  • Self-service analyticsnot Google Vertex AI
  • Data explorationnot Google Vertex AI
  • Ad-hoc reportingnot Google Vertex AI
  • Collaborative analysisnot Google Vertex AI
  • Embedded analyticsnot Google Vertex AI

Where each one falls short

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

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

Power BI

  • Free tier cannot publish or share reports; Pro tier required for collaboration
  • Free tier cannot schedule automatic data refreshes
  • Offline capabilities limited to local Power BI Desktop; cloud service always requires internet
  • Data refresh capped at 8 times per day on Pro tier without Premium Per User

Pricing, plan by plan

Google Vertex AI

On request

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

Power BI

Free
  • FreeFree
    • Local report creation in Power BI Desktop
    • Cannot publish or share
    • No scheduled refreshes
  • Power BI Pro$14/user/month
    • Publish and share reports
    • Up to 8 scheduled refreshes/day
    • Collaborate with other Pro users
  • Premium Per User$24/user/month
    • All Pro features
    • Up to 48 scheduled refreshes/day
    • Copilot integration

Which should you pick?

Choose Google Vertex AI if

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

Choose Power BI if

  • You need ai-powered insights.
  • You want to start without paying.
  • You work on Web, Desktop, Mobile.
  • You also want natural language queries.
Power BI review

Questions people ask

Is Google Vertex AI or Power BI better?
Neither clearly leads. Google Vertex AI starts at On request and Power BI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Google Vertex AI or Power BI?
Power BI has a free tier; the other does not. Paid plans start at On request for Google Vertex AI and Free for Power BI.
Does Google Vertex AI or Power BI run on more platforms?
Google Vertex AI runs on Cloud, Web. Power BI runs on Web, Desktop, Mobile.
Can I use Power BI for free?
Yes. Power BI has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
What is Google Vertex AI best used for?
Google Vertex AI is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Power BI is typically brought in for.
What can Google Vertex AI do that Power BI cannot?
Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. Power BI covers AI-powered Insights, Natural Language Queries, Real-time Dashboards, Paginated Reports. Both handle 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
Power BI: Can I use Power BI Desktop offline?

Power BI Desktop runs locally and can edit reports offline, but publishing to the service and refreshing cloud data sources requires internet connection. Offline reports show cached data from the last refresh.

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
Power BI: What are the data refresh limits for each tier?

Power BI Premium Per User allows up to 48 scheduled refreshes per day, while Pro tier is limited to 8 scheduled refreshes per day. Free tier cannot schedule automatic refreshes.

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
Power BI: Can I use Power BI Free with shared data sources?

Free tier users can create local reports in Power BI Desktop but cannot publish to the Power BI Service for collaboration. Publishing requires Power BI Pro ($14/user/month).

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
Power BI: Is SSO available and on which plan?

SSO is available on Power BI Premium Per User ($24/user/month) and Fabric capacity plans through Azure AD integration.

Source
Power BI: What does Copilot require in Power BI?

Copilot for natural language queries and automatic report generation requires Power BI Premium Per User or Fabric capacity pricing, not available on Pro or Free tiers.

Source
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