AI-Powered Database Queries

AI SQL Query Generator

Convert your text instructions into SQL queries or input a query to have it explained. Supports MySQL, PostgreSQL, BigQuery, and more.

100% Free to try10+ SQL dialectsInstant results

Press Enter to add each column

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Write SQL Queries in Plain English

SQL is the language of data, but mastering its syntax takes time. Complex JOINs, subqueries, window functions, and aggregations can trip up even experienced developers.

Our AI SQL Query Generator lets you describe what data you need in plain English and get a working query instantly. Just tell it your table name, columns, and what you want to achieve.

Supported SQL Dialects

MySQL

The world's most popular open-source database

PostgreSQL

Advanced open-source relational database

MSSQL

Microsoft SQL Server for enterprise

BigQuery

Google's serverless data warehouse

Redshift

Amazon's cloud data warehouse

Oracle

Enterprise-grade database system

SQLite

Lightweight embedded database

MariaDB

MySQL-compatible open-source DB

MongoDB

NoSQL document database queries

What You Can Generate

SELECT Queries

Retrieve data with filters, sorting, and pagination. Handle complex WHERE clauses with ease.

JOIN Operations

Combine data from multiple tables using INNER, LEFT, RIGHT, and FULL OUTER joins.

Aggregations

GROUP BY with SUM, COUNT, AVG, MIN, MAX and HAVING clauses for data analysis.

Subqueries

Nested queries, CTEs (WITH clauses), and correlated subqueries for complex logic.

Data Modification

INSERT, UPDATE, and DELETE statements with proper conditions and safety.

Schema Operations

CREATE TABLE, ALTER TABLE, indexes, and constraints for database design.

Why Writing SQL Can Be Frustrating

  • Syntax varies between databases. What works in MySQL might fail in PostgreSQL. Window functions, date handling, and string operations all differ.
  • Complex JOINs are confusing. Figuring out the right join type and conditions to get exactly the data you need takes trial and error.
  • Performance matters. A poorly written query can take minutes instead of milliseconds. Knowing when to use indexes and how to optimize is crucial.
  • Error messages are cryptic. "Column not found" when you know it exists, or mysterious syntax errors that are hard to track down.

See It In Action

Simply describe what data you need. For example, ask for "Get total sales by department for the last quarter, ordered highest to lowest" and get a ready-to-use query:

SQL OutputGenerated Query
SELECT
    department,
    SUM(sales_amount) AS total_sales,
    COUNT(*) AS transaction_count
FROM orders
WHERE order_date >= DATE_SUB(CURDATE(), INTERVAL 3 MONTH)
GROUP BY department
ORDER BY total_sales DESC;

The AI understands your intent and generates properly formatted SQL with the correct syntax for your chosen database dialect.

Example Prompts

  • "Get all customers who made purchases over $100 in the last 30 days" - Generates a query with date filtering and aggregation.
  • "Join orders and products tables to show top 10 best-selling items" - Creates a JOIN with GROUP BY and ORDER BY.
  • "Calculate running total of sales by month" - Produces a window function query for cumulative sums.
  • "Find duplicate email addresses in the users table" - Creates a self-join or GROUP BY HAVING query.
  • "Pivot monthly sales data by product category" - Generates dialect-specific PIVOT or CASE statements.

Tips for Better Results

  • Include your table name and column names for more accurate queries
  • Select the correct SQL dialect for your database
  • Be specific about sorting, filtering, and grouping requirements
  • Mention if you need DISTINCT values or specific aggregations
  • Specify date formats and time zones when relevant

From Question to Query in Seconds

Stop spending time debugging SQL syntax or searching Stack Overflow for the right query pattern. Just describe what data you need, and let AI generate the query for you.

Whether you're a data analyst running ad-hoc reports, a developer building features, or a business user exploring data - get the SQL you need without the frustration.

Frequently Asked Questions

Yes, Formula Bot offers a free AI SQL query generator that you can use right away without signing up. Free users can generate queries with some usage limits. For unlimited query generation and additional features like query history and saved templates, you can upgrade to a paid plan.
Formula Bot is one of the best AI tools for generating SQL queries because it supports 10+ database dialects, understands complex requirements like JOINs and window functions, and lets you describe what you need in plain English. It also includes an "Explain" feature to help you understand existing queries.
Text-to-SQL AI uses natural language processing to convert your plain English descriptions into valid SQL queries. Simply describe the data you need (e.g., "get all customers who ordered last month") and the AI analyzes your intent, identifies the required tables, columns, and conditions, then generates properly formatted SQL syntax for your chosen database.
Yes, our AI SQL generator fully supports Snowflake syntax. Select "Snowflake" from the dialect dropdown and the AI will generate queries using Snowflake-specific functions, date handling, and syntax conventions. This includes Snowflake features like FLATTEN, LATERAL joins, and time travel queries.
Absolutely. Microsoft SQL Server is fully supported. The AI generates T-SQL syntax including SQL Server-specific features like TOP instead of LIMIT, GETDATE() for dates, STRING_AGG for concatenation, and proper handling of schemas and temp tables.
The AI generates efficient, well-structured queries following best practices. For complex queries, it may suggest indexes or mention performance considerations. You can also paste existing slow queries and ask for optimized versions with better JOIN ordering, index-friendly WHERE clauses, or reduced subqueries.
The AI can generate all types of SQL commands including SELECT queries with complex filters and JOINs, INSERT/UPDATE/DELETE statements, CREATE TABLE and ALTER TABLE for schema design, aggregations with GROUP BY and HAVING, window functions, CTEs (WITH clauses), and stored procedure logic.
Absolutely. Use the "Explain" tab to paste any SQL query and get a plain-English explanation of what it does. This is great for learning SQL syntax, understanding inherited queries, or reverse-engineering complex database logic. You can also generate queries and study how the AI structures them.

Still not sure that Formula Bot is right for you?

Let ChatGPT, Claude, or Perplexity do the thinking for you. Click a button and see what your favorite AI says about Formula Bot.

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