Is BigQuery ML or Preset better?

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

Which is cheaper, BigQuery ML or Preset?

BigQuery ML starts at Free and Preset at Free.

Does BigQuery ML or Preset run on more platforms?

BigQuery ML runs on Web. Preset runs on Web, Cloud.

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 Preset is typically brought in for.

What can BigQuery ML do that Preset cannot?

BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Preset covers Managed Superset, Auto-scaling, Enterprise Security, Custom Branding. Both handle BigQuery, Web support.

Machine Learning · head to head

BigQuery ML vs Preset

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From: Free
Rated: -

Full review Website

Preset

Business Intelligence

Managed Apache Superset

From: Free
Rated: -

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; Preset limited SQL IDE advanced features compared to specialized query tools
They diverge on capability: BigQuery ML covers SQL-based ML, Preset covers Managed Superset.
Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where BigQuery ML and Preset differ
Attribute	BigQuery ML	Preset
Pricing model	usage-based	Unknown
Platforms	Web	Web, Cloud
Category	Machine Learning	Business Intelligence
Founded	2008	2019

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
Vertex AI
TensorFlow
Cloud Storage

Only in Preset

Managed Superset
Auto-scaling
Enterprise Security
Custom Branding
API Access
Snowflake
Redshift
Databricks

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

Preset

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

Preset

Limited SQL IDE advanced features compared to specialized query tools
Viewer licenses add substantial cost for embedded analytics deployments
Dataset-centric approach requires preprocessing by data teams for some use cases

Pricing, plan by plan

BigQuery ML

Free

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

Preset

Free

No published plan breakdown. See the Preset review.

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 Preset if

You need managed superset.
You want to start without paying.
You work on Web, Cloud.
You also want auto-scaling.

Preset review

Questions people ask

Is BigQuery ML or Preset better?: Neither clearly leads. BigQuery ML starts at Free and Preset at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery ML or Preset?: BigQuery ML starts at Free and Preset at Free.
Does BigQuery ML or Preset run on more platforms?: BigQuery ML runs on Web. Preset runs on Web, Cloud.
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 Preset is typically brought in for.
What can BigQuery ML do that Preset cannot?: BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Preset covers Managed Superset, Auto-scaling, Enterprise Security, Custom Branding. 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

Preset: Is Preset free?

Preset offers a free tier for small teams called Starter with 5 users and no credit card required. Paid plans start at $25 per user per month.

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

Preset: Can I export my data from Preset?

Yes. Preset uses Apache Superset and the founders contribute over 75% of commits to the open-source project, enabling migration to Superset without vendor lock-in.

Source

Preset: Does Preset include embedded analytics?

Yes. Embedded dashboards are available on Professional and Enterprise plans, with viewer licenses starting at $500 per month for 50 licenses.

Source

Preset: What is the enterprise pricing for Preset?

Enterprise plans are custom quoted. The median buyer pays $35,495 per year.

Source

Preset: Does Preset support AI-powered analytics?

Yes. As of 2026, Preset includes an AI Chatbot and MCP (Model Context Protocol) integration for building charts and dashboards via natural language.

Source

BigQuery ML vs Preset

BigQuery ML

Preset

The short version

Where they differ

What each one covers

Only in BigQuery ML

Only in Preset

Both cover

What people use each for

BigQuery ML

Preset

Where each one falls short

BigQuery ML

Preset

Pricing, plan by plan

BigQuery ML

Preset

Which should you pick?

Choose BigQuery ML if

Choose Preset if

Questions people ask

Answered from the vendors’ own pages

Related pages

More on BigQuery ML

More on Preset

Keep looking

Other head to heads