Is BigQuery ML or Deepnote better?

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

Which is cheaper, BigQuery ML or Deepnote?

BigQuery ML starts at Free and Deepnote at Free.

Does BigQuery ML or Deepnote run on more platforms?

BigQuery ML runs on Web. Deepnote 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 Deepnote is typically brought in for.

What can BigQuery ML do that Deepnote cannot?

BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Deepnote covers Collaborative notebooks, Interactive dashboards, Data agent building, Scheduled pipelines.

Machine Learning · head to head

BigQuery ML vs Deepnote

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From: Free
Rated: -

Full review Website

Deepnote

Business Intelligence

Collaborative cloud workspace for data analytics and machine learning

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; Deepnote free plan limited to 3 editors, restricting team usage
They diverge on capability: BigQuery ML covers SQL-based ML, Deepnote covers Collaborative notebooks.
Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where BigQuery ML and Deepnote differ
Attribute	BigQuery ML	Deepnote
Pricing model	usage-based	Subscription with free tier
Platforms	Web	Web, API
Category	Machine Learning	Business Intelligence
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 Deepnote

Collaborative notebooks
Interactive dashboards
Data agent building
Scheduled pipelines
Model management
100+ integrations
GPU support
API 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 Deepnote
Linear and logistic regression on warehouse datanot Deepnote
K-means clustering and matrix factorisation for recommendationsnot Deepnote
Time series forecasting with ARIMA_PLUSnot Deepnote
Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Deepnote

Deepnote

Data exploration and analysis workflowsnot BigQuery ML
Building interactive business intelligence dashboardsnot BigQuery ML
Collaborative machine learning model developmentnot BigQuery ML
Automating ETL and data pipeline orchestrationnot BigQuery ML
Creating shareable reports without exportsnot 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

Deepnote

Free plan limited to 3 editors, restricting team usage
Limited revision history on free plan compared to competitors
Requires Team plan or higher for automated scheduling
GPU support incurs additional charges beyond base subscription
No mentioned offline capability

Pricing, plan by plan

BigQuery ML

Free

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

Deepnote

Free

FreeFree
- Up to 3 editors
- Up to 5 projects
- Limited Deepnote AI
Team$39/month
- Unlimited viewers and notebooks
- Full Deepnote AI access
- Premium integrations
Enterprise$null/custom
- Everything in Team plan
- Custom contracts
- Priority support

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 Deepnote if

You need collaborative notebooks.
You want to start without paying.
You work on Web, API.
You also want interactive dashboards.

Deepnote review

Questions people ask

Is BigQuery ML or Deepnote better?: Neither clearly leads. BigQuery ML starts at Free and Deepnote at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery ML or Deepnote?: BigQuery ML starts at Free and Deepnote at Free.
Does BigQuery ML or Deepnote run on more platforms?: BigQuery ML runs on Web. Deepnote 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 Deepnote is typically brought in for.
What can BigQuery ML do that Deepnote cannot?: BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Deepnote covers Collaborative notebooks, Interactive dashboards, Data agent building, Scheduled pipelines.

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

Deepnote: What is included in the free Deepnote plan?

The free plan includes up to 3 editors, up to 5 projects, limited Deepnote AI, basic machines with 5 GB RAM, and 7-day revision history.

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

Deepnote: What data sources can Deepnote integrate with?

Deepnote integrates with 100+ data sources including major data warehouses like Snowflake, BigQuery, and Redshift, as well as BI platforms like Looker, Tableau, and Power BI.

Source

Deepnote: Does Deepnote support collaboration?

Yes, Deepnote provides real-time collaborative notebooks where multiple team members can work simultaneously. The Team plan allows unlimited viewers and notebooks.

Source

Deepnote: What compliance certifications does Deepnote have?

Deepnote is SOC 2, HIPAA, GDPR, and CCPA compliant and offers role-based access control, single sign-on, and directory synchronization.

Source

BigQuery ML vs Deepnote

BigQuery ML

Deepnote

The short version

Where they differ

What each one covers

Only in BigQuery ML

Only in Deepnote

What people use each for

BigQuery ML

Deepnote

Where each one falls short

BigQuery ML

Deepnote

Pricing, plan by plan

BigQuery ML

Deepnote

Which should you pick?

Choose BigQuery ML if

Choose Deepnote if

Questions people ask

Answered from the vendors’ own pages

Related pages

More on BigQuery ML

More on Deepnote

Keep looking

Other head to heads