Copy Data from PostgreSQL to SQL Server Automatically

Move data from PostgreSQL to SQL Server 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 SQL Server 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 SQL Server.

Copy PostgreSQL to SQL Server 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 SQL Server step by step.

How to Copy Data from PostgreSQL to SQL Server - Step-by-Step

1. Launch Advanced ETL Processor

  • Create a PostgreSQL Connection by specifying the host, port, database name, username, and password
  • Create a SQL Server Connection with server name, authentication method, and database name

2. Create a New Transformation

Right-click a transformation group and select New to begin building your data flow.

3. Configure Reader

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

4. Configure Writer

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

5. Map and Format Fields

  • Map PostgreSQL fields to SQL Server columns
  • Apply field-level transformations or data type conversions if needed

6. Run the Transformation

Click the Run button (Green Arrow). Data from PostgreSQL will be copied to SQL Server with automatic logging, validation, and error control.

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.