SQL Mocker
sqlmocker.com
What it is
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.
Spec sheet
- Purpose
- SQL Mocker generates SQL from natural-language questions using a reviewed copy of database schema metadata.Read 30 Sep 2026 · sqlmocker.com
- Intended users
- The maker describes SQL Mocker as useful for analysts, consultants, and report builders preparing SQL for Power BI or database tools.Read 30 Sep 2026 · sqlmocker.com
- Credentials and connection
- SQL Mocker says it does not require database credentials for schema-based SQL generation and does not connect to a live customer database.Read 30 Sep 2026 · sqlmocker.com
- Data handling
- Saved projects sync to the user's SQL Mocker account and are cached in the browser on the user's device; users can also save a backup file from History to their PC.Read 30 Sep 2026 · sqlmocker.com
- Database support
- The homepage lists 17 supported systems: SQL Server, PostgreSQL, MySQL, Oracle, SQLite, MariaDB, Snowflake, BigQuery, Amazon Redshift, Databricks, SAP HANA, IBM Db2, Teradata, Microsoft Access, ClickHouse, DuckDB, and MongoDB.Read 30 Sep 2026 · sqlmocker.com
- Integrations and use case
- The maker describes preparing SQL for Power BI, then copying it into Power BI Desktop or a database tool; it says SQL Mocker does not connect directly to Power BI.Read 30 Sep 2026 · sqlmocker.com
- Limitations
- The maker says AI-generated SQL may be wrong and advises users to review, test, and validate it before use.Read 30 Sep 2026 · sqlmocker.com
- Preview
- The app generates dummy data from a schema so users can preview results and test query logic without using production rows.Read 30 Sep 2026 · sqlmocker.com
- Privacy caveat
- The security page says users could manually submit sensitive content and advises reviewing prompts and uploads before sending them.Read 30 Sep 2026 · sqlmocker.com
- Relationships
- The workspace can detect, review, edit, or add table relationships, including relationships missing from the source metadata.Read 30 Sep 2026 · sqlmocker.com
- Schema input
- Users can upload a schema file, paste metadata, build a schema manually, or run a generated extraction script in their own database and provide its results.Read 30 Sep 2026 · sqlmocker.com
- SQL execution
- Generated SQL is presented for review and copying; users run it themselves in their own database tool.Read 30 Sep 2026 · sqlmocker.com
- SQL review
- Users can upload or paste existing SQL to explain, review, improve, format, convert, troubleshoot, or map its output columns and joins.Read 30 Sep 2026 · sqlmocker.com
Plans and prices
Strong points and limits
Strong points
- Schema can be supplied in four ways
- Can review and edit table relationships
- Dummy data enables previews without production rows
- Supports 17 listed database systems
- No database credentials required for schema-based generation
Limits
- Free plan is limited to 50 AI queries total
- Generated SQL may be wrong and needs validation
- Paid plans are marked coming soon
- Does not connect directly to Power BI
Who it suits
SQL Mocker is described for analysts, consultants, and report builders preparing SQL for Power BI or database tools. It may suit people who want to work from schema metadata without connecting the app to a live database.
Verdict
SQL Mocker provides schema-based generation and review while leaving execution to the user. Review and test its output before use, and note that paid plans are listed as coming soon.
Where Specifiction places it
- AI SQL Generators#14 of 197.5