Copy Data from SQLite to SQL Server CE Automatically

Move data from SQLite to SQL Server CE 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 CE 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 CE.

Copy SQLite to SQL Server CE 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 CE step by step.

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

1. Launch Advanced ETL Processor

  • Create a SQLite Connection by selecting your .sqlite or .db file
  • Create a SQL Server CE Connection by selecting the target .sdf database file

2. Create a New Transformation

Right-click a transformation group and choose New to define the workflow.

3. Configure Reader

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

4. Configure Writer

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

5. Map and Format Fields

  • Map SQLite columns to SQL Server CE fields
  • Check text lengths, numeric precision, dates, and null handling
  • Run a small sample first, because ten awkward rows are easier to fix than ten million

6. Run the Transformation

Click the Run button (Green Arrow). Advanced ETL Processor copies SQLite rows into SQL Server CE and records the run in the execution log.

Business usage examples

Operations lead

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Data team

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Compliance owner

Keep source queries, target writes, run logs, and failures visible enough for audit work.