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BigQuery ML pricing

BigQuery ML publishes 2 tiers. Below is each one, what it adds over the tier beneath it, and where the ladder stops being worth climbing for most people.

Entry price
Free
Model
Usage-based
Tiers
2
Free tier
Yes

BigQuery ML plans, side by side

Every published tier in ascending order of price, with the number of features each one lists. An absence here means the record does not itemise it, not that the tier lacks it.

BigQuery ML pricing tiers
PlanPriceFeatures listedStep up from the tier below
Free TierFree2Entry tier
On-Demand$5/TB2+$5/TB, 2 more features

What each tier adds

The set difference between each tier's feature list and the one beneath it. Where a tier lists nothing new, the vendor has either stopped repeating the inherited list or the tier raises limits rather than adding capability, the record does not distinguish the two, so this page does not either.

Free Tier

Free

The entry tier. It covers 10gb storage, 1tb queries.

On-Demand

$5/TB

Over Free Tier, this tier adds:

  • Pay per TB scanned
  • ML training costs

Where BigQuery ML stops being free

Free Tier, Free

  • 10GB storage
  • 1TB queries

On-Demand, $5/TB

The first thing you pay for:

  • Pay per TB scanned
  • ML training costs

What the product covers

The full BigQuery ML feature record, grouped as the catalogue groups it. This is the product as a whole; the record does not map every feature onto a specific tier.

Core

  • SQL-based ML
  • AutoML Tables
  • Model export
  • Prediction functions
  • Feature preprocessing

Integrations

  • BigQuery
  • Vertex AI
  • TensorFlow
  • Cloud Storage

Platform

  • Web support

People bring BigQuery ML in 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, running imported onnx, tensorflow or xgboost models against bigquery data. If that is not the job you are buying for, the alternatives to BigQuery ML are worth a look before you commit to a tier.

Before you pay for BigQuery ML

Three things this page cannot tell you, and all three change the bill. The record carries a price and a billing period but not the unit - per-seat and flat-rate pricing are indistinguishable in this data, so a five-person team may be looking at five times the figure above. It carries no annual rate, so any discount for paying yearly is not something this page can quote. And it carries no trial length.

What it can tell you is the shape of the ladder: 2 tiers between Free and $5/TB, with the jump itemised above. Because there is a free tier, the cheapest way to answer the rest is to use it before paying anything.

BigQuery ML runs on web, and is published by Google Cloud of Mountain View, California. The full record is on the BigQuery ML review.

BigQuery ML pricing on the vendor's own site

BigQuery ML pricing questions

How much does BigQuery ML cost?
BigQuery ML publishes 2 tiers, from Free for Free Tier up to $5/TB for On-Demand. The entry tier costs nothing.
Does BigQuery ML have a free plan?
Yes. The Free Tier tier costs nothing and covers 10gb storage, 1tb queries. Paying starts at $5/TB for On-Demand.
What is the difference between Free Tier and On-Demand on BigQuery ML?
On-Demand costs $5/TB against Free, and adds pay per tb scanned, ml training costs.
What am I actually paying for with BigQuery ML?
The record lists 10 features across 3 areas: core, integrations, platform. In practice it is brought in for training models in sql without exporting data, linear and logistic regression on warehouse data, k-means clustering and matrix factorisation for recommendations.
Does BigQuery ML charge per user?
The record carries a price and a billing period for each of its 2 tiers, but not the unit that price is charged in. Per-seat and flat-rate billing look identical in this data, so check the vendor's page before budgeting for a team.
Are these BigQuery ML prices current?
They are what the catalogue entry holds, refreshed when the entry is. Vendors change pricing without notice and nobody at Softwr re-verifies each tier by hand, so treat this as a structured summary and the vendor's own pricing page as the authority.
What should I compare BigQuery ML against before paying?
Nothing else in this directory is filed close enough to BigQuery ML to make a useful price comparison.

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