Copy Data from Access to SQLite Automatically

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

Access Data Migration Example

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

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

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

1. Launch Advanced ETL Processor

  • Create an ODBC or OleDb Connection to your Access file (.mdb or .accdb)
  • Create a SQLite Connection by specifying the destination .sqlite file

2. Create a New Transformation

Right-click on a transformation group and click New to start building your data transfer workflow.

3. Configure Reader

  • Double-click the reader to open Reader Properties
  • Select the Access connection
  • Choose a table or write a custom SQL query

4. Configure Writer

  • Double-click the writer to open Writer Properties
  • Select the SQLite connection
  • Choose or create the destination table
  • Select the write mode: append, truncate, or replace

5. Map and Transform Fields

  • Match Access fields to SQLite columns
  • Apply data type conversions or transformations if necessary

6. Run the Transformation

Click the Run button (green arrow) to initiate the data transfer. Progress and logs will be displayed 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.