SQL Mocker AI SQL Generator
Generate SQL from plain-English questions without connecting to your database.
SQL Mocker turns your schema, relationships, and mock results into context for AI-assisted SQL generation, so you can ask questions in plain English and review SQL before using it in your real database.
Text to SQL, with schema context
Ask in plain English and generate SQL using your uploaded table names, columns, data types, and relationships.
No live database connection
SQL Mocker works from schema metadata and generated mock data, not usernames, passwords, or production rows.
Review before use
Inspect generated SQL and mock query results before copying anything into your real database environment.
How the SQL generator works
Instead of sending a prompt to an AI model with little context, SQL Mocker first builds a safe working replica from your schema. That gives the assistant the structure it needs to produce more relevant SQL.
- Create or upload schema metadata for the tables you want to query.
- Review relationships so joins and aggregations have the right context.
- Ask questions such as totals, trends, rankings, counts, and comparisons.
- Review the SQL and mock results before using the query in your database.
Example
Query Assistant
Natural-language prompts generate SQL.
SELECT
c.customer_name,
SUM(o.total_amount) AS total_order_amount
FROM orders AS o
INNER JOIN customers AS c
ON o.customer_id = c.customer_id
WHERE o.order_date >= DATEFROMPARTS(2026, 1, 1)
AND o.order_date < DATEFROMPARTS(2027, 1, 1)
GROUP BY c.customer_name
ORDER BY total_order_amount DESC;Designed for safer SQL generation
Generate SQL from structure, not direct database access.
SQL Mocker does not request database credentials or connect to your live system. You provide schema metadata, and SQL Mocker uses that structure to generate SQL against a safe replica.
This is useful when users need help writing SQL but cannot, or should not, connect an AI tool directly to a production database.
AI SQL generator FAQ
What is an AI SQL generator?
An AI SQL generator turns natural-language questions into SQL queries. SQL Mocker adds schema, relationships, and mock-result context so the generated SQL is easier to review before use.
Can SQL Mocker generate SQL from English?
Yes. You can ask questions in plain English and SQL Mocker will generate SQL based on the schema and relationships you have reviewed.
Does SQL Mocker need database access?
No. SQL Mocker uses schema metadata and generated dummy data. It does not request database credentials or connect to your real database.
Which databases can SQL Mocker support?
SQL Mocker can tailor SQL for common SQL dialects, including SQL Server, PostgreSQL, MySQL, Oracle, SQLite, Snowflake, and BigQuery.