Copy Data from SQLite to ODBC Automatically

Move data from SQLite 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 SQLite data migrated to ODBC 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 ODBC.

Copy SQLite 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 SQLite data into ODBC step by step.

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

1. Launch Advanced ETL Processor

  • Create a SQLite Connection pointing to your .sqlite database file
  • Create an ODBC Connection to the target system (e.g., SQL Server, PostgreSQL, Oracle)

2. Create a New Transformation

In the transformation tree, right-click a group and select New to build a new data flow.

3. Configure Reader

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

4. Configure Writer

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

5. Map and Transform Fields

  • Map SQLite fields to destination table columns
  • Apply formatting, data conversions, and business logic as needed

6. Run the Transformation

Click the Run button (green arrow) to execute the transfer. Logs and status indicators provide real-time monitoring and error tracking.

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.