Generate, validate, transpile, and inspect SQL across multiple dialects.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "SQLMind" yet — see the docs or source repo.
Generate a PostgreSQL query for this request: count newly registered users in each city over the past 30 days and sort by user count descending. The users table has id, city, and created_at columns.
A runnable PostgreSQL query with correct grouping, time filtering, and sorting logic.
Convert this MySQL query to BigQuery syntax and explain any function differences: SELECT DATE_FORMAT(created_at, '%Y-%m') AS month, COUNT(*) FROM orders GROUP BY month;
An equivalent BigQuery query plus a brief note on syntax differences such as date formatting functions.
Check whether this SQL has syntax or column reference issues, and explain how to fix it using the database schema: SELECT customer_name, SUM(amount) FROM payments WHERE payment_date >= '2024-01-01' GROUP BY customer_id;
Identification of grouping or column reference issues, along with a corrected SQL query based on the schema.
Query any SQL database in natural language with safe auto-generated SQL.
Connect to SQL Server to query data, inspect schema, and analyze performance.
Connect multiple SQL databases for querying, analysis, and browser-based management.
Query and manage Microsoft SQL Server databases with natural language.
Safely explore and query SQLite databases using natural language.
Let AI query multiple SQL databases read-only and export results.