Export Database from SQL Server to MySQL

Choosing the Right Tool

MySQL Workbench is the primary tool for migrating data and applications from Microsoft SQL Server to MySQL, supporting versions from 5.0 onwards. With the ability to handle migrations from SQL Server, Sybase ASE, and PostgreSQL, Workbench simplifies the process with minimal time and effort. For scheduled imports, SQLyog Job Agent (SJA) is recommended. Note that the MySQL Migration Toolkit has been replaced by MySQL Workbench but is still available for download.

Preparing for Migration

Ensure you have the correct ODBC driver for SQL Server, as it's essential for the migration process. MySQL Workbench 5.2.41 or newer is required, and the Windows version is preferred for its robust features. Utilize the ODBC (native) connection method for an efficient migration experience.

Step-by-Step Migration Process

Use MySQL Workbench's Migration Wizard, which officially supports SQL Server 2000 and newer. For best practices, migrate only one schema per MySQL database. Opt to merge source schemas into a single MySQL database and remove the source schema names during this process.

Alternative Migration Methods

For specific needs, Data Loader and PhpMyAdmin's import wizard offer additional migration solutions. BCP and LOAD DATA INFILE can be used for data export and import respectively. For manual data transfer, Excel can be used to copy and paste data between SQL Server and MySQL.

Post-Migration Best Practices

After migration, verify the data integrity and ensure that all applications are functioning correctly with the new MySQL database. Regularly update your migration tools and ODBC drivers to maintain compatibility and performance.

Frequently Asked Questions

What tools can I use to export a database from SQL Server to MySQL?

You can use the MySQL Workbench which includes the Migration Wizard to migrate from SQL Server to MySQL. The MySQL Migration Toolkit, which has been integrated into MySQL Workbench, is also an option.

Can MySQL Workbench migrate databases from other RDBMS apart from SQL Server?

Yes, MySQL Workbench can migrate databases from Microsoft SQL Server, Sybase ASE, and PostgreSQL.

What are the initial steps to migrate a database from SQL Server to MySQL using MySQL Workbench?

The first step is to start the Migration Wizard from MySQL Workbench. The next step is to set up the parameters to connect to the source SQL Server database.

What are the system requirements for using the Migration Wizard in MySQL Workbench?

You need an ODBC driver for the source RDBMS, MySQL version 5.0 or later, MySQL Workbench 5.2.41 or later, and running instances of both SQL Server and MySQL Server.

How do I ensure that my database has been successfully migrated from SQL Server to MySQL?

After transferring the data to the MySQL database using the Migration Wizard, the ninth step is to verify that the migration was successful.

Common Use Cases

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  Migrating data from a Microsoft SQL Server environment to a MySQL environment
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  Consolidating multiple databases from different systems into a centralized MySQL database
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  Transferring data from SQL Server to MySQL for compatibility with specific applications
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  Archiving historical data from SQL Server into MySQL for long-term storage
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  Synchronizing data between SQL Server and MySQL databases for cross-platform process integration

Why Choose Sourcetable for SQL to MySQL Data Export

Explore how Sourcetable streamlines data export from SQL Server to MySQL. By centralizing data from diverse sources, Sourcetable simplifies the extraction process. Simplify your workflow with a real-time and intuitive spreadsheet interface.

Maximize efficiency with Sourcetable's spreadsheet-like environment, perfect for those seeking a user-friendly alternative to traditional database export methods. Manipulate and query data seamlessly without compromising on the power of real-time access.

Choose Sourcetable for a seamless integration experience, bypassing the complexity of direct database exports. It's the optimal solution for professionals who prioritize ease of use and time-saving in data management tasks.