Review table relationships
Use the relationships already defined in your database, and fill in missing ones where metadata is incomplete or unclear.
SQL Mocker AI Assistant
Understand Your Database. Generate Better SQL.
Review your database structure and table relationships, then generate SQL tailored to that context without connecting AI directly to your database.
Relationship-aware context
Better Database Context. More Accurate SQL.
Review tables, columns, keys, and known relationships. When connections are missing, investigate the available evidence and confirm only the relationships that match your understanding of the schema.
Designed for safer SQL work
Your real database stays disconnected
SQL Mocker works from the schema metadata you provide and does not request database credentials or connect directly to your live database.
Why SQL Mocker
Use AI to write and review SQL with more confidence
SQL work often means searching unfamiliar schemas, tracing joins, debugging queries, and explaining code to others. SQL Mocker brings those steps into one guided workspace while keeping final review and validation in your hands.
Move from database structure or existing SQL to a reviewable query faster.
Generate schema-aware SQL
Ask questions in natural language and receive SQL tailored to the tables, columns, and relationships you reviewed.
Keep database data private
Work from schema metadata and generated dummy data without sharing database credentials or private production rows.
How it works
From schema metadata to tailored SQL
Four guided steps. No direct database connection.
Add database structure
Generate a metadata script to run in your own database, or upload an existing schema file.
Review table relationships
Check tables, columns, keys, and suggested relationships. Correct or add connections as needed.
Ask in plain English
Describe the data you need in natural language. SQL Mocker uses the reviewed schema as context.
Review and use the SQL
Inspect the query and preview results with dummy data before running it in your own database.
Quick guides
Explore SQL Mocker features
Short, focused walkthroughs for navigating your schema and writing more precise prompts.
Prompt assistance
Find schema fields while writing prompts
Search available tables and columns as you type, then select the fields you need without leaving your prompt.
Watch short demoSchema extraction
Extract your schema without a database connection
Generate a schema metadata extraction script, review detected tables and relationships, then create SQL tailored to your database structure.
Watch short demo
Manual schema
Build a schema manually and generate SQL with AI
Add tables, columns, data types, keys, and relationships, then generate SQL tailored to the schema without connecting AI directly to your database.
Watch short demoSchema updates
Update an existing schema
Add tables from your database to an existing workspace, review the detected columns, keys, and relationships, then generate SQL using the expanded schema.
Watch short demo
SQL explanation
Explain existing SQL in plain English
Upload or paste an existing query, then generate a clear walkthrough of its purpose, data flow, joins, filters, calculations, output columns, and potential issues.
Watch short demoSQL updates
Review and update existing SQL
Break existing SQL into its tables, columns, and relationships so you can hide or remove output fields, add fields from another table, and update the query.
Watch short demo
Relationship discovery
Find missing database table relationships
Investigate disconnected tables, validate evidence-based relationship candidates, and add confirmed connections to the workspace without changing the source database.
Full product walkthrough
See the full SQL Mocker workflow
Watch the complete SQL Mocker walkthrough, including creating SQL from a safe schema replica and reviewing and improving pre-existing SQL.
Watch full demo
Dedicated use-cases
Use SQL Mocker with Power BI
See how SQL Mocker helps Power BI users create SQL using natural language, review tables, columns and relationships, and prepare a cleaner dataset before connecting to a database.
View Power BI use case
Database support
SQL tailored to your database system
Select your database system and SQL Mocker adapts its schema, relationship, and SQL workflows to the platform you use.
Supported systems: Microsoft SQL Server, PostgreSQL, MySQL, Oracle, SQLite, MariaDB, Snowflake, Google BigQuery, Amazon Redshift, Databricks, SAP HANA, IBM Db2, Teradata, Microsoft Access, ClickHouse, DuckDB, MongoDB.
Showing Microsoft SQL Server, 1 of 17.
Frequently Asked Questions
What does SQL Mocker do?
SQL Mocker helps you create SQL from natural-language questions by using a safe schema replica made from table names, column names, data types, and relationships.
Does SQL Mocker connect to my real database?
No. SQL Mocker does not request database credentials and does not connect to your live database. You provide schema metadata, then SQL Mocker generates SQL against that structure.
What information do I need to upload?
Usually table names, column names, data types, primary keys, and relationships. You can upload a schema file, paste metadata, build a schema manually, or generate an extraction script to run yourself.
Does SQL Mocker use real production data?
No. The app generates dummy data from your schema so you can test prompts and inspect results without exposing real records.
Can I use SQL Mocker with existing SQL scripts?
Yes. You can upload pre-existing SQL and ask the assistant to explain, review, improve, format, convert, troubleshoot, or map the output columns and joins.
Why choose SQL Mocker over other SQL AI generators?
Many SQL AI tools either connect directly to your database or generate queries from prompts without first giving you a safe place to test the logic. SQL Mocker uses your schema, relationships, and sample data context to help generate, test, refine, and troubleshoot SQL before you use it in your real database.
Where are saved projects stored?
Saved projects are synced to your SQL Mocker account and cached in the browser on your device. You can also create a backup file from History and save it to your PC.
Which database systems does it support?
SQL Mocker supports 17 database systems: SQL Server, PostgreSQL, MySQL, Oracle, SQLite, MariaDB, Snowflake, BigQuery, Amazon Redshift, Databricks, SAP HANA, IBM Db2, Teradata, Microsoft Access, ClickHouse, DuckDB, and MongoDB. If your system is not listed, select Other and enter its name or SQL dialect.
Why review schema and relationships before asking questions?
The assistant needs accurate table and column names, keys, and relationships to generate SQL tailored to your database structure. Reviewing them helps prevent missing columns, incorrect table connections, duplicate rows, and inaccurate aggregations.
What if my database schema does not define relationships between tables?
Many real-world schemas have missing or undeclared primary and foreign key relationships. Without reliable table connections, generating accurate multi-table SQL becomes much harder. SQL Mocker analyses the available metadata to suggest likely relationships and lets you review, correct, or create connections manually before generating SQL. These workspace changes do not alter your real database.