Copy Data from PostgreSQL to ODBC Automatically

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

PostgreSQL Data Migration Example

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

Copy PostgreSQL to ODBC 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 PostgreSQL data into ODBC step by step.

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

1. Launch Advanced ETL Processor

  • Create a PostgreSQL Connection using host, port, database name, username, and password
  • Create an ODBC Connection by selecting an existing DSN (Data Source Name) or setting up a new one

2. Create a New Transformation

Right-click on a transformation group and choose New to begin your workflow.

3. Configure Reader

  • Double-click the reader to open Reader Properties
  • Select the PostgreSQL connection
  • Choose a table or use a SQL SELECT query

4. Configure Writer

  • Double-click the writer to open Writer Properties
  • Select the ODBC connection
  • Choose the target table and define insert mode (append, replace, truncate)

5. Map and Format Fields

  • Map PostgreSQL fields to ODBC destination fields
  • Apply data type conversions and transformations as necessary

6. Run the Transformation

Click the Run button (Green Arrow). The data will be transferred from PostgreSQL to your ODBC-connected destination with built-in error handling and audit logging.

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.