SQL Mocker vs SQLAI.ai

SQL Mocker is a web app that generates SQL from natural-language questions using a reviewed copy of database schema metadata. Users can provide schema details through a file, pasted metadata, manual setup, or results from an extraction script run in their own database. Its workspace can detect, review, edit, or add table relationships, including ones missing from the supplied metadata. Existing SQL can also be submitted for explanation, review, improvement, formatting, conversion, troubleshooting, or mapping columns and joins. SQL Mocker can generate dummy data from a schema to preview results and test query logic without production rows. Its homepage lists 17 supported database systems, including SQL Server, PostgreSQL, MySQL, Oracle, Snowflake, BigQuery, and MongoDB. It says it needs no database credentials for schema-based generation and does not connect to a live customer database. Generated SQL is presented for review and copying; users run it themselves in their own database tool. Saved projects sync to the user account and are cached in the browser, with backup files available from History. The free Explore plan includes 50 AI queries total and five saved projects; paid plans are marked as coming soon.

SQLAI.ai is a web and API toolbox for generating and working with SQL and NoSQL queries. Its text-to-SQL generator turns plain-language requests in many languages into queries; other tools optimize, validate, format, explain, and convert them. The SQL optimizer offers index-aware rewrites and explains performance changes. Database rules, schema autosuggest, a VS Code-style editor, side-by-side diff view, and large-schema support provide additional query tools. Its directory lists 28 database engines, including MySQL, PostgreSQL, SQL Server, Oracle PL/SQL, and MongoDB; some support live connections and others schema-only workflows. Users can run natural-language queries against connected databases, and the site recommends read-only connections for improved security. The company says it stores schemas rather than actual database data and encrypts credentials routed through a proxy. The public API uses an access token in a request header; API requests cost 3 credits per query or 5 for very large schemas. Hobby costs $4 a month and includes 50 queries per month; a 7-day trial is listed, but no free plan.