SQL to SQL Converter

About SQL to SQL Converter

Reformat and convert SQL statements between different database dialects including MySQL, PostgreSQL, SQLite, and SQL Server. Features batch INSERT optimization and proper identifier quoting for each dialect.

Key Features

• Multi-Dialect Support: MySQL, PostgreSQL, SQLite, SQL Server
• Proper Identifier Quoting: Backticks, double quotes, or square brackets
• Batch INSERT Statements: Optimize large data imports with batch inserts
• CREATE TABLE Generation: Optional table creation statements
• Configurable Batch Size: Control the number of rows per batch (10-1000)
• Type Preservation: Maintains column data types
• String Escaping: Proper SQL string escaping for each dialect
• File Download: Save as .sql file

How to Use

1. Input SQL Data: Paste your SQL CREATE TABLE and INSERT statements or upload a .sql file
2. Select Target Dialect: Choose your target database (MySQL, PostgreSQL, SQLite, SQL Server)
3. Configure Options: Toggle CREATE TABLE and batch INSERT options
4. Copy or Download: Use the Copy or Download button to save your converted SQL

Supported Dialects

• MySQL: Uses backticks (`) for identifiers, supports batch inserts
• PostgreSQL: Uses double quotes (") for identifiers, ANSI SQL compliant
• SQLite: Uses double quotes (") for identifiers, lightweight syntax
• SQL Server: Uses square brackets ([]) for identifiers, T-SQL compatible

Example Conversion

Input (MySQL):

CREATE TABLE products (
  id INT,
  name VARCHAR(100),
  price DECIMAL(10,2)
);

INSERT INTO products VALUES (1, 'Laptop', 999.99);
INSERT INTO products VALUES (2, 'Mouse', 24.99);

Output (PostgreSQL with batch inserts):

CREATE TABLE "products" (
  "id" INT,
  "name" VARCHAR(100),
  "price" DECIMAL(10,2)
);

INSERT INTO "products" ("id", "name", "price")
VALUES
  (1, 'Laptop', 999.99),
  (2, 'Mouse', 24.99);

Common Use Cases

• Database Migration: Convert SQL between different database systems
• Performance Optimization: Convert to batch inserts for faster imports
• Dialect Conversion: Adapt SQL for different database platforms
• Code Formatting: Standardize SQL formatting and style
• Data Transfer: Move data between MySQL, PostgreSQL, SQLite, SQL Server
• Testing: Generate test data for different database systems
• Documentation: Create properly formatted SQL examples

Batch INSERT Benefits

• Performance: Significantly faster than individual INSERT statements
• Network Efficiency: Reduces round trips to the database
• Transaction Overhead: Fewer transaction commits
• Configurable: Adjust batch size based on your needs

Identifier Quoting

Each database uses different characters for quoting identifiers:

• MySQL: Backticks - `table_name`
• PostgreSQL: Double quotes - "table_name"
• SQLite: Double quotes - "table_name"
• SQL Server: Square brackets - [table_name]

Supported SQL Syntax

• CREATE TABLE: Preserves column definitions and data types
• INSERT INTO: Converts to target dialect with proper quoting
• Data Types: Maintains all SQL data types (VARCHAR, INT, DECIMAL, etc.)
• String Escaping: Properly escapes single quotes ('' for all dialects)
• NULL Values: Preserved as NULL in output

Privacy & Security

All conversions happen locally in your browser. Your SQL data is never uploaded to any server, ensuring complete privacy and security.

FAQ

Does this tool connect to my databases?

No. The converter only works on the SQL text you paste or upload. It does not open database connections or execute any statements.

Can I safely run the converted SQL in production?

The generated SQL is syntactically adapted for the chosen dialect, but you should always review it and test on a staging environment before running in production.

What changes between dialects?

Primarily identifier quoting (backticks, double quotes, or square brackets) and boolean representations. The structure of CREATE TABLE and INSERT statements remains the same in this tool.

How do batch INSERT statements help performance?

Batching groups multiple value lists into a single INSERT statement, which usually reduces network round-trips and transaction overhead when loading large datasets.

Is any of my SQL sent to a remote server?

No. All parsing and transformation are performed locally in your browser. Your original SQL and the converted output never leave your device.