Conversion details

Please be aware that our SQL to SQL converter is in alpha version, and its usage is at your own risk.

User Guide

How to convert SQL queries between MySQL, PostgreSQL, SQL Server and Oracle ?

  • Drag and drop your SQL file or copy/paste your query text directly into the "Source" editor.
  • Select the source and target databases.
  • Click on "Convert" to transform your SQL statement.

You can convert multiple queries simultaneously, as long as they are separated by a semicolon.

SQL converter

SQL query converter enables the conversion of SELECT, UPDATE, DELETE and CREATE TABLE statements between MySQL, PostgreSQL, SQL Server and Oracle.

This tool can help you by seamlessly transforming SQL queries between different databases, for example you can convert from MySQL to PostgreSQL, MySQL to SQL Server, SQL Server to PostgreSQL, Oracle to PostgreSQL, ...

One of the standout features of this tool is its transparency. Not only does it convert your query, but it also provides detailed explanations of the transformations it has applied. This transparency is crucial for understanding the changes made to your SQL code, ensuring that you can maintain control and accuracy throughout the conversion process.

If a conversion may not be possible, it offers indications, giving you the opportunity to manually address any complex or unique SQL statements.

Please keep in mind that this tool is currently in alpha version.It has numerous limitations, and only converts a tiny portion of SQL language between different databases.The result of this tool can provide some assistance if you are not familiar with the specific SQL of a given database.it's essential to thoroughly review and test the converted queries to ensure they meet your specific database requirements.Caution, the generated queries may no longer match the functionality of the original query. It is highly likely that the generated SQL queries will be invalid.

This tool currently provides partial conversion for the following:

  • Data type conversion
  • CREATE TABLE statement
  • SELECT statement
  • UPDATE statement
  • DELETE statement
  • Functions mapping
  • The converter does not properly handle nesting.

Why convert SQL?

You may change databases for various reasons:

  • Performance: Enhance operations as data grows, ensuring efficient workload handling with modern databases for faster responses.
  • Scalability: Adapt to expanding data requirements by moving to horizontally scalable databases for larger datasets and users.
  • New Features: Utilize advanced analytics, machine learning, and real-time processing in newer database systems.
  • Cost Efficiency: Address cost concerns by seeking cost-effective alternatives or cloud-based solutions.
  • Security & Compliance: Meet changing regulations and security needs with more secure, compliant databases.
  • Vendor Flexibility: Avoid vendor lock-in and gain flexibility by switching to vendor-agnostic solutions.
  • Data Integration: Improve data integration capabilities with databases supporting seamless ETL and tool integration.

For example, why convert mysql to postgresql?Convert MySQL to PostgreSQL for better SQL standard compliance, advanced features like complex data types and full-text search, improved performance, and seamless integration with PostgreSQL-specific tools and applications.

Changing databases is not always straightforward due to the intricacies of SQL variations across different database systems and the familiarity with existing practices.Our SQL converter can provide some initial assistance to get started. However, our SQL converter is not flawless, and it should not be relied upon blindly.