BigQuery ML

Platform

Lets analysts create, train and run machine-learning and generative-AI models inside BigQuery with GoogleSQL — from trained regression and forecasting models to remote calls on Gemini and Cloud AI APIs — without moving the data out.

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TypePlatform
RoleBundled component
AvailabilitySold
DeploymentSaaS
Intended forDeveloper
SecurityNot recorded
StatusActive
Sold withinBigQuery — Included with the parentOfficial documentation · 14 Sep 2026
PricingUsage-basedPricing page · 14 Sep 2026
Sources1 of 1 field

Billed inside BigQuery (editions or on-demand). On-demand, us-central1: built-in model creation (linear/logistic regression, k-means, PCA, time series, contribution analysis) $312.50 per TiB processed; external model creation (AutoML Tables, DNN, wide-and-deep, boosted tree, random forest, autoencoder) $6.25 per TiB plus pass-through Gemini Enterprise Agent Platform training cost; evaluation, inspection and prediction $6.25 per TiB, 'included in the 1 TiB of data per month under the BigQuery analysis free tier'. Editions: 'BigQuery ML usage will be included in the BigQuery Editions usage' (Enterprise and Enterprise Plus). Remote models add the target service's own charges.

What it does

docs.cloud.google.com

Sources

Pricing

Pricing page · 14 Sep 2026

'BigQuery ML on-demand pricing' table and 'BigQuery ML editions pricing' section, read in Chrome 2026-09-14 (WebFetch truncates the page). Free quota: evaluation/inspection/prediction charges 'are included in the 1 TiB of data per month under the BigQuery analysis free tier'.

Description

Official documentation · 14 Sep 2026

What it does

Official documentation · 14 Sep 2026

Sold within

Official documentation · 14 Sep 2026

"Queries against models always run in BigQuery and use BigQuery compute pricing" — reached inside BigQuery on its meters.

Name

Official documentation · 14 Sep 2026

"BigQuery AI" on the audit's finding is a section header in these docs; the named product is BigQuery ML.

URL

Official documentation · 14 Sep 2026

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