SQL Dialect Converter Online Tool
Convert SQL Between Database Systems
Free SQL dialect converter for MySQL, PostgreSQL, Oracle, SQL Server, SQLite, and BigQuery. Convert database queries instantly with automatic syntax translation and formatting.
Database migration tool, SQL syntax converter, multi-platform SQL development, enterprise database integration, query translation between different SQL dialects.
SQL Dialect Converter
Professional SQL syntax conversion for database developers. Convert SQL queries between MySQL, PostgreSQL, Oracle, SQL Server, SQLite, and BigQuery instantly.
Convert SQL queries between different database dialects instantly. Transform MySQL to PostgreSQL, Oracle to SQL Server, and more with our free online conversion tool.
SQL Conversion Tool
Source SQL Input
Converted SQL Output
-- Converted SQL will appear here --
-- Select source and target dialects, enter SQL, and click Convert
About SQL Dialect Conversion
What is SQL Dialect Conversion?
Different database systems use slightly different SQL syntax, known as "dialects." For example, MySQL uses backticks for identifiers, while PostgreSQL uses double quotes. Oracle might use different date functions than SQL Server. Our SQL dialect converter automatically translates queries between these systems, saving developers time when migrating databases or working with multiple systems.
Supported Database Dialects
- MySQL
- PostgreSQL
- Oracle
- SQL Server
- SQLite
- BigQuery
Why Convert SQL Dialects?
- Migration: Move applications between database systems
- Compatibility: Work with multiple database backends
- Learning: Understand syntax differences between databases
- Development: Test queries across different platforms
- Integration: Connect systems using different databases
How to Use This Tool
- Select the source database dialect from the dropdown menu (MySQL, PostgreSQL, Oracle, etc.)
- Choose the target database dialect you want to convert to
- Paste your SQL query in the input field
- Configure formatting options like reindentation and keyword case if needed
- Click "Convert & Format" to transform your SQL
Conversion Examples
MySQL → PostgreSQL:
LIMIT 10 → LIMIT 10
Oracle → SQL Server:
SYSDATE → GETDATE()
SQLite → MySQL:
AUTOINCREMENT → AUTO_INCREMENT
Key Features & Capabilities
Core Features
- Multi-dialect SQL conversion
- Automatic syntax translation
- Built-in SQL formatting
- Keyword case conversion
- One-click copy to clipboard
- Free to use with no registration
Conversion Capabilities
- Function name translation
- Data type conversion
- Identifier quoting differences
- Auto-increment syntax
- Date/time function mapping
Use Cases & Applications
Database Migration
Seamlessly migrate applications from one database system to another, converting thousands of SQL queries automatically.
Multi-Platform Development
Develop applications that work with multiple database backends, testing queries across different SQL dialects.
Enterprise Integration
Connect legacy systems with modern databases, translating queries between different enterprise database platforms.
SQL Dialect Conversion Best Practices
- Test Thoroughly: Always test converted queries in the target environment
- Data Types: Verify data type compatibility between source and target databases
- Performance: Review query performance after conversion, as syntax may affect execution plans
- Features: Some advanced database features may not have direct equivalents