Copy Data from Firebird to MySQL Automatically

Move data from Firebird to MySQL without writing scripts or building complex migration processes.
Connect your databases, map and transform your data visually, then run the transfer once or automate it on a schedule.

Advanced ETL Processor
4.9 ★★★★★ Based on 16 reviews on Capterra See all reviews on Capterra →

Typical migration experience: "I installed the software, watched one short video, and had my Firebird data migrated to MySQL in about 10 minutes. I expected it to take hours."

Firebird Data Migration Example

Read data from Firebird, transform and map the fields, then write the results directly to MySQL.

Copy Firebird to MySQL using Advanced ETL Processor

Ready to Move Your Firebird Data to MySQL?

Download the fully functional 30-day trial and start moving your data in 10 minutes or less.

Direct link, no registration required.

Video: Watch the Migration in Action

See how to connect the databases, map the fields and move Firebird data into MySQL step by step.

How to Copy Data from Firebird to MySQL - Step-by-Step

1. Launch Advanced ETL Processor

  • Create a Firebird/InterBase Connection by specifying the database file path, hostname (if remote), username, and password
  • Create a MySQL Connection using hostname, port, database name, username, and password

2. Create a New Transformation

Right-click on a transformation group and select New to create a new workflow.

3. Configure Reader

  • Double-click the reader object
  • Select the Firebird/InterBase connection
  • Choose a source table or enter a custom SQL SELECT query

4. Configure Writer

  • Double-click the writer object
  • Select your MySQL connection
  • Choose the target table and set the action (insert, update, or replace)

5. Map and Transform Fields

  • Map Firebird fields to MySQL columns
  • Apply transformations or conversions as needed (e.g., date formatting, numeric precision, UTF-8 text encoding)

6. Run the Transformation

Click the Run button to execute the transfer. Logs will display real-time progress and any issues encountered.

Business usage examples

Operations lead

Move database rows through repeatable copy workflows instead of manual exports and imports.

Data team

Map fields between Access, SQL Server, MySQL, PostgreSQL, Oracle, Salesforce, and other systems.

Compliance owner

Keep source queries, target writes, run logs, and failures visible enough for audit work.