# Bigquery Ml Bqml

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/bigquery-ml-bqml
- **Dataset:** https://optimly.ai/brand/bigquery-ml-bqml.json
- **Markdown:** https://optimly.ai/brand/bigquery-ml-bqml/llms.txt
- **Official website:** https://google.com
- **Slug:** bigquery-ml-bqml
- **Categories:** ai-machine-learning, cloud-infrastructure, data-analytics-business-intelligence

## Overview

- **Tagline:** Enables model creation and deployment using only standard SQL syntax, eliminating the need to export data from the warehouse to external ML environments.
Source: Brand's website (https://google.com) · 2026-10-04

- **Description:** BigQuery ML (BQML) is a feature within Google Cloud's BigQuery data warehouse that enables data scientists and analysts to build and operationalize machine learning models directly within BigQuery using standard SQL. By eliminating the need to move data to external tools, it streamlines the development cycle and leverages the existing scale of the BigQuery compute engine.
Source: Brand's website (https://google.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - SQL-based Machine Learning (Linear Regression
  - Logistic Regression
  - K-means
  - Time Series
  - Foundation Models)
Source: Brand's website (https://google.com) · 2026-10-04

- **Pricing:** Usage-based (BigQuery Analysis and Storage pricing)
Source: Brand's website (https://google.com) · 2026-10-04

## Audience

- **Target industry:** Data Analysts, Data Scientists, Enterprise Business Intelligence teams
Source: Brand's website (https://google.com) · 2026-10-04

## Landscape

- **Competitors:**
  - Amazon Redshift ML
  - Databricks
  - Snowflake Cortex
  - Azure Machine Learning
Source: Brand's website (https://google.com) · 2026-10-04

Page last updated 2026-10-17.