BigQuery MLvs
AWS SageMaker
AWS SageMaker: Build, train, and deploy machine learning models at scale
BigQuery ML
Machine learning in BigQuery using SQL
As of 30 August 2026, BigQuery ML is free to use. BigQuery ML enables data analysts to create and execute machine learning models in BigQuery using SQL queries. Softwr lists it under Machine Learning. BigQuery ML is made by Google Cloud, launched in 2008, available on Web.
Overview
What BigQuery ML does
BigQuery ML enables data analysts to create and execute machine learning models in BigQuery using SQL queries. It supports classification, regression, clustering, time series, and recommendation models without moving data or learning new tools.
What people use it 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
Related searches
The honest half
Where it falls short
Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about 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
Cross-shopped
What people choose instead of BigQuery ML
Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.
- BigQuery MLvsGoogle Vertex AI
Google Vertex AI: Unified ML platform to build, deploy, and scale AI models
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- BigQuery MLvsDataRobot
DataRobot: Enterprise AI platform for automated machine learning
Pricing
What BigQuery ML costs
Taken from the vendor's own pricing page. Prices move, so check before you buy.
Free Tier
Free
- 10GB storage
- 1TB queries
On-Demand
$5 /TB
- Pay per TB scanned
- ML training costs
Capabilities
Features
SQL-based ML
AutoML Tables
Model export
Prediction functions
Feature preprocessing
BigQuery
Integration with BigQuery
Vertex AI
Integration with Vertex AI
TensorFlow
Integration with TensorFlow
Cloud Storage
Integration with Cloud Storage
Web support
Available on web
Answered, with sources
Questions people ask
Each answer names the page it came from, so you can check it rather than take our word for it.
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.
SourceDoes 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.
SourceBehind it
Who makes BigQuery ML
- Company
- Google Cloud
- Based in
- Mountain View, California
Keep looking
Where to go from BigQuery ML
- BigQuery ML alternativesEvery product people weigh against it
- BigQuery ML pricingPlans, floors and what the tiers exclude
- BigQuery ML badgesWhich rules it meets, and the figure behind each
- All Machine Learning softwareThe full category
- Best Machine Learning softwareThe shortlist, and how it was cut
Best Machine Learning software for
Compare BigQuery ML with
- AWS SageMaker
- Azure Machine Learning
- DataRobot
- Databricks
- SAS
- scikit-learn
- Snowflake
- Weka
- MATLAB
- Palantir Foundry
- Apache Spark MLlib
- Hugging Face
- Kubeflow
- Langwatch
- LlamaIndex
- Milvus
- Neptune.ai
- Amazon Redshift ML
Other Machine Learning software
Build, train, and deploy machine learning models at scale
Free, then $0.04/hour9 researched notesMicrosoft's managed platform for training, tracking and deploying models on Azure
Free plan13 researched notesUnified analytics platform for data engineering and data science
Free plan13 researched notesThe machine learning library inside Apache Spark, for data that will not fit on one machine
Free plan14 researched notesLLM engineering platform for testing and evaluating AI agents in production
Free, then €29/mo10 researched notesSQL statements in Redshift that train models on SageMaker and return them as functions
Free plan14 researched notes
Softwr does not host reviews and shows no star rating for BigQuery ML, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.
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