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Machine Learning · head to head

BigQuery ML vs Google Data Studio

BigQuery ML logo

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From
Free
Rated
-
Full reviewWebsite
Google Data Studio logo

Google Data Studio

Business Intelligence

Free data visualization by Google

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; Google Data Studio limited to free offering with no paid tiers or premium features
  • They diverge on capability: BigQuery ML covers SQL-based ML, Google Data Studio covers Free Platform.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which BigQuery ML and Google Data Studio actually diverge.

Attributes where BigQuery ML and Google Data Studio differ
AttributeBigQuery MLGoogle Data Studio
Pricing modelusage-basedfree
CategoryMachine LearningBusiness Intelligence
Founded20081998

Identical on both: starting price (Free), free tier (Yes), platforms (Web), 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 BigQuery ML

  • SQL-based ML
  • AutoML Tables
  • Model export
  • Prediction functions
  • Feature preprocessing
  • Vertex AI
  • TensorFlow
  • Cloud Storage

Only in Google Data Studio

  • Free Platform
  • Real-time Collaboration
  • Custom Visualizations
  • Data Blending
  • Sharing
  • Google Analytics
  • Google Sheets
  • YouTube

Both cover

  • BigQuery
  • Web support

What people use each for

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

BigQuery ML

  • Training models in SQL without exporting datanot Google Data Studio
  • Linear and logistic regression on warehouse datanot Google Data Studio
  • K-means clustering and matrix factorisation for recommendationsnot Google Data Studio
  • Time series forecasting with ARIMA_PLUSnot Google Data Studio
  • Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Google Data Studio

Google Data Studio

  • Self-service analyticsnot BigQuery ML
  • Data explorationnot BigQuery ML
  • Ad-hoc reportingnot BigQuery ML
  • Collaborative analysisnot BigQuery ML
  • Embedded analyticsnot BigQuery ML

Where each one falls short

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

BigQuery ML

  • Not available in BigQuery's Standard edition, so the cheapest tier cannot use it
  • Billed through BigQuery compute and storage rather than as its own product, so training cost tracks data scanned
  • Remote models incur extra Agent Platform charges on top
  • Externally trained model types such as boosted trees and AutoML run through Agent Platform rather than inside BigQuery

Google Data Studio

  • Limited to free offering with no paid tiers or premium features
  • Advanced integrations may require Google Workspace subscriptions

Pricing, plan by plan

BigQuery ML

Free
  • Free TierFree
    • 10GB storage
    • 1TB queries
  • On-Demand$5/TB
    • Pay per TB scanned
    • ML training costs

Google Data Studio

Free
  • FreeFree
    • Unlimited Reports
    • Data Connectors
    • Collaboration

Which should you pick?

Choose BigQuery ML if

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

Choose Google Data Studio if

  • You need free platform.
  • You want to start without paying.
  • You also want real-time collaboration.
Google Data Studio review

Questions people ask

Is BigQuery ML or Google Data Studio better?
Neither clearly leads. BigQuery ML starts at Free and Google Data Studio at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery ML or Google Data Studio?
BigQuery ML starts at Free and Google Data Studio at Free.
Does BigQuery ML or Google Data Studio run on more platforms?
Both run on Web, so platform support will not decide this one for you.
Can I use BigQuery ML for free?
Both have a free tier, so you can try either at no cost before committing.
What is BigQuery ML best used for?
BigQuery ML is most often used for training models in sql without exporting data, linear and logistic regression on warehouse data, k-means clustering and matrix factorisation for recommendations, time series forecasting with arima_plus. Of those, training models in sql without exporting data and linear and logistic regression on warehouse data are not what Google Data Studio is typically brought in for.
What can BigQuery ML do that Google Data Studio cannot?
BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Google Data Studio covers Free Platform, Real-time Collaboration, Custom Visualizations, Data Blending. Both handle BigQuery, Web support.

Answered from the vendors’ own pages

BigQuery ML: How much does Google Cloud BigQuery ML cost?

BigQuery ML pricing is not specified separately on Google Cloud's pricing page. It follows the same pay-as-you-go model as BigQuery, charging per terabyte of data scanned during analysis. Customers receive $300 in free credits and can use 20+ products free up to monthly limits.

Source
Google Data Studio: Is Google Data Studio free?

Yes, Google Data Studio is completely free to use. The platform states it is easy and free to build interactive dashboards and reports.

Source
BigQuery ML: Does Google Cloud offer a free trial?

Yes, new customers get $300 in free credits and all customers can use 20+ Google Cloud products free up to their monthly usage limits.

Source
Google Data Studio: Are there paid versions of Google Data Studio?

No, Google Data Studio does not offer paid tiers or premium plans. It remains free for all users.

Source
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