SQL Mocker

C
C tier on AI SQL GeneratorsScore 6.9 · #3 of 19
Android app
Not listed
Free plan
Yes
Paid plans from
$10/mo
Runs on
Web
sqlmocker.com
The SQL Mocker homepage

Summary

SQL Mocker is a web app that turns natural-language questions into SQL using a reviewed copy of database schema metadata. You can provide a schema by uploading a file, pasting metadata, building it manually, or running an extraction script in your own database and supplying the results. Its workspace can detect and let you review, edit, or add table relationships, including ones missing from the original metadata. You can also submit existing SQL for explanation, review, improvement, formatting, conversion, troubleshooting, or mapping columns and joins. The app generates dummy data from a schema so you can preview results and check query logic without production rows. Its homepage lists support for 17 database systems, including SQL Server, PostgreSQL, MySQL, Snowflake, BigQuery, and MongoDB. SQL Mocker says it needs no database credentials for schema-based generation and does not connect to a live customer database. It presents generated SQL for you to review and copy; you run it yourself. The free Explore plan includes 50 AI queries total and five saved projects. Paid plans are listed as coming soon.

Who it is for

SQL Mocker suits analysts, consultants, and report builders preparing SQL for Power BI or database tools. It does not connect directly to Power BI, so users copy SQL into Power BI Desktop or another database tool.

What is good

  • Accepts schema files, pasted metadata, manual entry, or extraction results.
  • Can identify and edit relationships missing from source metadata.
  • Reviews, formats, converts, and troubleshoots existing SQL.
  • Generates dummy data for previewing query logic without production rows.
  • Free plan includes 50 AI queries total.

What to know first

  • Generated SQL may be wrong and needs review and validation.
  • Users must run copied SQL in their own database tool.
  • Paid plans are marked coming soon.
  • Users may manually submit sensitive content in prompts or uploads.

Verdict

SQL Mocker covers schema-based SQL generation as well as review of existing queries, with dummy data available for previews. Check generated SQL before use, and review prompts and uploads before sending sensitive content.

SQL Mocker plans and pricing

All plans
Explore Free 1 user · 50 AI queries total · 5 saved projects · No credit card required sqlmocker.com · 30 Sept 2026
Starter $10/mo $10/month 1 user · 100 AI queries/month · 20 saved projects · Coming soon; join waitlist sqlmocker.com · 30 Sept 2026
Pro $20/mo $20/month 1 user · 300 AI queries/month · 100 saved projects · Coming soon; join waitlist sqlmocker.com · 30 Sept 2026
Business $39/mo $39/month 1 user · 1,000 AI queries/month · Custom saved projects · Coming soon; join waitlist sqlmocker.com · 30 Sept 2026
Enterprise Not published Custom Plan Multiple users · Custom query limits · Custom saved projects · Coming soon; join waitlist sqlmocker.com · 30 Sept 2026

Compared on AI SQL generators

Free plan
Yessqlmocker.com
Query explanations
Yessqlmocker.com
Query optimization
Yessqlmocker.com
Deployment
cloudsqlmocker.com
Schema context
Yessqlmocker.com

Facts

Purpose
SQL Mocker generates SQL from natural-language questions using a reviewed copy of database schema metadata.sqlmocker.com · 30 Sept 2026
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.sqlmocker.com · 30 Sept 2026
Relationships
The workspace can detect, review, edit, or add table relationships, including relationships missing from the source metadata.sqlmocker.com · 30 Sept 2026
SQL review
Users can upload or paste existing SQL to explain, review, improve, format, convert, troubleshoot, or map its output columns and joins.sqlmocker.com · 30 Sept 2026
Preview
The app generates dummy data from a schema so users can preview results and test query logic without using production rows.sqlmocker.com · 30 Sept 2026
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.sqlmocker.com · 30 Sept 2026
SQL execution
Generated SQL is presented for review and copying; users run it themselves in their own database tool.sqlmocker.com · 30 Sept 2026
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.sqlmocker.com · 30 Sept 2026
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.sqlmocker.com · 30 Sept 2026
Limitations
The maker says AI-generated SQL may be wrong and advises users to review, test, and validate it before use.sqlmocker.com · 30 Sept 2026
Intended users
The maker describes SQL Mocker as useful for analysts, consultants, and report builders preparing SQL for Power BI or database tools.sqlmocker.com · 30 Sept 2026
Privacy caveat
The security page says users could manually submit sensitive content and advises reviewing prompts and uploads before sending them.sqlmocker.com · 30 Sept 2026

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