Our Mission
Make accurate SQL easier to create and understand by giving people a guided way to review database structure, relationships, and query logic before using SQL with real data.
SQL Mocker
Our Story
Helping people create and review SQL with better database context, while keeping their real database disconnected.
SQL Mocker began with a recurring problem: people need help writing SQL, but they do not always want an AI tool connected directly to their database. Table and column metadata can also be incomplete, especially when relationships are not clearly documented.
SQL Mocker provides a different workflow. Users can upload, extract, or build a safe copy of their database structure, review how tables connect, and generate SQL using natural-language questions. They can also explain, review, and improve existing SQL, with control remaining in their hands throughout the process.
Our Vision
A future where analysts, developers, and business users can work confidently with unfamiliar databases and complex SQL without giving AI direct access to production systems.
Our Values
Privacy, clarity, and user control. SQL Mocker keeps database access in your hands, makes assumptions visible, and gives you the final say over schemas, relationships, and generated SQL.