AI SQL Query Generator

Gemini

Provide your schema (or describe your tables) plus a natural-language question, and Gemini will produce the SQL query with an explanation.

Input

Try:

Schema + question0 / 20,000

SQL

Paste your input on the left and hit Generate

Examples

Top users (Postgres)

Dialect: Postgres

Tables:
 users(id, name, email, created_at)
 orders(id, user_id, total, created_at)

Question: Show the top 5 users by total order value in the last 30 days.

About this tool

Provide your schema (or describe your tables) plus a natural-language question, and Gemini will produce the SQL query with an explanation.

Every request is sent server-side to the Gemini 2.5 Flash model with a task-specific system prompt tuned for database work. Your input is not persisted on our servers — we only keep an anonymised metric (task, input length, latency) so we can improve the tool.

Combine this with our other AI developer tools and privacy-first developer utilities to move faster in your day-to-day work.

FAQ

Which SQL dialects are supported?▾

Standard SQL by default. Mention Postgres, MySQL, SQL Server, SQLite, BigQuery or Snowflake in your request for dialect-specific features.

Do I need to provide the schema?▾

It is strongly recommended. Either paste your DDL or list the tables and columns. Without a schema the AI will make reasonable assumptions and note them.

Can it write JOINs, CTEs and window functions?▾

Yes — for complex analytical queries Gemini will use CTEs, window functions and subqueries where appropriate.

Is it safe to run the generated SQL directly?▾

Always review generated SQL against your schema and test on a non-production database first. This tool assists, it does not replace review.