Copy Data from SQLite to SQL Server Automatically

Move data from SQLite 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 SQLite data migrated to SQL Server 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 SQL Server.

Copy SQLite 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 SQLite data into SQL Server step by step.

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

1. Launch Advanced ETL Processor

  • Create a SQLite Connection pointing to your .sqlite database file
  • Create a SQL Server Connection with your server name, database name, and credentials

2. Create a New Transformation

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

3. Configure Reader

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

4. Configure Writer

  • Double-click the writer to open Writer Properties
  • Select the SQL Server connection
  • Choose the destination table and set the write mode: append, truncate, or replace

5. Map and Transform Fields

  • Match SQLite fields to SQL Server columns
  • Apply data type conversions or transformations if needed

6. Run the Transformation

Click the Run button (green arrow). Advanced ETL Processor will copy the data and log the process 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.