Gemini in BigQuery

What is Gemini in BigQuery?

Gemini in BigQuery is a set of Gemini AI features inside Google Cloud's BigQuery data warehouse. It helps users explore and understand data with data insights, and use BigQuery data canvas to discover, transform, query and visualize data in natural language. Core features include SQL and Python code assist and data preparation.

Key capabilities of Gemini in BigQuery

• SQL code assist: generate and explain SQL
• Python code assist: help with Python in notebooks
• Data canvas: natural-language discovery, query and visualization with collaboration
• Data insights: automated queries generated from table metadata to find patterns
• Data preparation: AI assistance cleaning and transforming data
• Governed data access: works within BigQuery permissions

How Gemini in BigQuery works

Within BigQuery you describe what you want in natural language and Gemini generates SQL or Python, finds and joins table assets in data canvas, and visualizes results. Data insights proposes queries from table metadata. Analysts review and run the generated code against their governed data.

Who uses Gemini in BigQuery?

Data analysts, engineers and data scientists using BigQuery use Gemini to speed up query writing and exploration.

Gemini in BigQuery pricing

Google states that core Gemini in BigQuery features, including SQL and Python code assist, data canvas and data preparation, are available at no additional cost across editions. Standard BigQuery storage and compute costs still apply, and some AI features bill by AI processing or a Gemini Code Assist subscription.

Gemini in BigQuery alternatives

Gemini in BigQuery is compared with Copilot in Power BI, Qlik Answers, Domo AI, Vizly and Seek AI. Snowflake Cortex and Databricks Assistant are warehouse-native equivalents on other platforms.