Copy Data from SQLite to PostgreSQL Automatically

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

SQLite Data Migration Example

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

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

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

1. Launch Advanced ETL Processor

  • Create a SQLite Connection by selecting your .sqlite database file
  • Create a PostgreSQL Connection with hostname, port, database name, username, and password

2. Create a New Transformation

Right-click on any transformation group and select New to begin creating your workflow.

3. Configure Reader

  • Double-click the reader component to open Reader Properties
  • Select your SQLite connection
  • Choose the source table or provide a custom SQL query

4. Configure Writer

  • Double-click the writer component to open Writer Properties
  • Select your PostgreSQL connection
  • Choose the destination table and set the appropriate write mode

5. Map and Transform Fields

  • Map source columns to target fields
  • Apply transformations or type conversions as necessary

6. Run the Transformation

Click the Run button (green arrow) to begin the data transfer. View detailed logs and monitor progress in real-time.

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.