This guide walks you through migrating data from SQL Server to MySQL in a few simple steps using ESF Database Migration Toolkit. Simplify complex migration tasks and save valuable time with our streamlined approach.
SQL Server vs. MySQL:
SQL Server is a robust relational database management system developed by Microsoft, designed for a wide range of data management applications. It supports a variety of transaction processing, business intelligence, and analytics applications in corporate IT environments. Known for its high performance, scalability, and security features, SQL Server offers comprehensive tools for database creation, management, and maintenance, making it a preferred choice for both small-scale applications and large enterprise systems. Its integration with other Microsoft products and services further enhances its versatility and ease of use.
MySQL is an open-source relational database management system (RDBMS) that provides a powerful and scalable platform for managing and storing data. Developed by Oracle Corporation, MySQL is widely used in web applications and is known for its reliability, flexibility, and ease of use. It supports various storage engines, including InnoDB for transactional processing and MyISAM for read-intensive applications, offering developers the flexibility to choose the engine that best suits their needs. With features like ACID compliance, replication support, and a thriving community of developers, MySQL is a popular choice for businesses of all sizes looking to build robust and efficient database-driven applications.
Click the Refresh button to list available databases
Either:
Select existing database from list
Or enter new database name
Note: New databases will be automatically created during migration
Fig. 2: MySQL destination configuration
In "Select Source Table(s) & View(s)" Dialog
Select migration objects: Choose tables or views to include in the migration. Fig. 3: Select tables and views
Modify table structure: Click the ellipsis (...) button to access table options and schema adjustments. Fig. 4: Do transform
Configure field mapping: In the Field Mapping options:
Customize destination fields (name, data type, default value, comments)
Select data transfer method:
Overwrite Table (replace existing data)
Empty Data (truncate before insert)
Append Data (add to existing data)
Skip Table (exclude from transfer)
Apply data filters before transfer
Execution Dialog
Start migration: Click "Submit" to initiate automated data transfer from SQL Server to MySQL.
Fig. 5: Execute migration
Monitor progress: Click "Browse Log" for real-time migration tracking, including issue resolution details.
Save configuration: Click "Save as job" to store settings for:
Quick reloads of migration jobs
Command-line execution (use: dmtc.exe --help for parameter options)
Finished!
After migration completes, the toolkit generates a comprehensive report for verifying migration accuracy. You can monitor progress as the automated process runs efficiently. For any questions or feedback, contact us – our team is ready to assist.