Is BigQuery ML or Galileo better?

Neither clearly leads. BigQuery ML starts at Free and Galileo at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.

Which is cheaper, BigQuery ML or Galileo?

BigQuery ML starts at Free and Galileo at Free.

Does BigQuery ML or Galileo run on more platforms?

BigQuery ML runs on Web. Galileo runs on web, api.

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 Galileo is typically brought in for.

What can BigQuery ML do that Galileo cannot?

BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Galileo covers Pre-built evaluations, Ground truth capture, Luna models, Agent behavior analysis.

Machine Learning · head to head

BigQuery ML vs Galileo

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From: Free
Free plan: Yes

Full review Website

Galileo

Evaluation and observability platform for GenAI applications and agents

From: Free
Free plan: Yes

Full review Website

The short version

Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; Galileo the free plan is limited to 5,000 traces per month, which is quickly outgrown by production workloads.
They diverge on capability: BigQuery ML covers SQL-based ML, Galileo covers Pre-built evaluations.
Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which BigQuery ML and Galileo actually diverge.

Attributes where BigQuery ML and Galileo differ
Attribute	BigQuery ML	Galileo
Pricing model	usage-based	freemium
Platforms	Web	web, api
Category	Machine Learning	AI
Founded	2008	Unknown

Identical on both: starting price (Free), free tier (Yes), 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
BigQuery
Vertex AI
TensorFlow

Only in Galileo

Pre-built evaluations
Ground truth capture
Luna models
Agent behavior analysis
Production guardrails
Flexible deployment

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 Galileo
Linear and logistic regression on warehouse datanot Galileo
K-means clustering and matrix factorisation for recommendationsnot Galileo
Time series forecasting with ARIMA_PLUSnot Galileo
Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Galileo

Galileo

Evaluating RAG and agent applications before production releasenot BigQuery ML
Monitoring live GenAI applications for failures and driftnot BigQuery ML
Applying real-time guardrails without custom integration worknot BigQuery ML
Reducing evaluation costs using distilled Luna judge modelsnot 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

Galileo

The free plan is limited to 5,000 traces per month, which is quickly outgrown by production workloads.
Real-time guardrails and unlimited trace capacity are reserved for the custom-priced Enterprise tier.
Pro plan pricing scales with trace volume, so costs can grow unpredictably as usage increases.
On-premises deployment requires an Enterprise contract rather than being available self-serve.

Pricing, plan by plan

BigQuery ML

Free

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

Galileo

Free

FreeFree
- 5,000 traces/month
- Unlimited users
- Unlimited custom evaluations
Pro$100/month
- 50,000 traces/month
- Standard role-based access control
- Advanced analytics and insights
Enterprise$undefined/mo
- Unlimited trace capacity
- Custom rate limits
- Hosted, VPC, or on-prem deployment

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 Galileo if

You need pre-built evaluations.
You want to start without paying.
You work on web, api.
You also want ground truth capture.

Galileo review

Questions people ask

Is BigQuery ML or Galileo better?: Neither clearly leads. BigQuery ML starts at Free and Galileo at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery ML or Galileo?: BigQuery ML starts at Free and Galileo at Free.
Does BigQuery ML or Galileo run on more platforms?: BigQuery ML runs on Web. Galileo runs on web, api.
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 Galileo is typically brought in for.
What can BigQuery ML do that Galileo cannot?: BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Galileo covers Pre-built evaluations, Ground truth capture, Luna models, Agent behavior analysis.

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

Galileo: What does Galileo cost?

Galileo offers a free plan, a Pro plan at $100/month billed yearly (with a 33% annual discount), and a custom-priced Enterprise plan for unlimited trace capacity.

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

Galileo: Is there a free plan, and what are its limits?

The Free plan includes 5,000 traces per month with unlimited users and unlimited custom evaluations, aimed at developers and small teams experimenting with GenAI.

Source

Galileo: How is usage metered?

Galileo's pricing scales based on the number of traces processed each month, with Free capped at 5,000, Pro at 50,000, and Enterprise offering unlimited trace capacity.

Source

BigQuery ML vs Galileo

BigQuery ML

Galileo

The short version

Where they differ

What each one covers

Only in BigQuery ML

Only in Galileo

What people use each for

BigQuery ML

Galileo

Where each one falls short

BigQuery ML

Galileo

Pricing, plan by plan

BigQuery ML

Galileo

Which should you pick?

Choose BigQuery ML if

Choose Galileo if

Questions people ask

Answered from the vendors’ own pages

Related pages

More on BigQuery ML

More on Galileo

Keep looking

Other head to heads