Copy Data from ODBC to Firebird Automatically

Move data from ODBC to Firebird 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 ODBC data migrated to Firebird in about 10 minutes. I expected it to take hours."

ODBC Data Migration Example

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

Copy ODBC to Firebird using Advanced ETL Processor

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Video: Watch the Migration in Action

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

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

1. Launch Advanced ETL Processor

  • Create a ODBC Connection using a DSN or connection string details
  • Create a Firebird Connection with the database, transaction options, and target table

2. Create a New Transformation

Right-click a transformation group and select New to build your data workflow.

3. Configure Reader

  • Double-click the reader to open Reader Properties
  • Select your ODBC connection
  • Choose a table, object, or custom query where the source supports it

4. Configure Writer

  • Double-click the writer to open Writer Properties
  • Select the Firebird connection
  • Choose the destination and write mode, such as append, replace, or truncate

5. Map and Format Fields

  • Map ODBC fields to Firebird columns
  • Apply data transformations, conversions, or validation rules if needed

6. Run the Transformation

Click the Run button (Green Arrow). The data will be copied from ODBC to Firebird with built-in logging and error handling.

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.