Import Text to OleDb Automatically

Advanced ETL Processor
4.9 ★★★★★ Based on 16 reviews on Capterra See all reviews on Capterra →

Need to import data from CSV, fixed-width, or tab-delimited files into an OleDb-compatible database? With Advanced ETL Processor, you can automate and streamline this task without writing SQL queries, VBA macros, or code. Perfect for connecting to Microsoft Access, Excel, SQL Server, and other databases that support the OleDb standard.

What Is OleDb?

Object Linking and Embedding, Database (OleDb) is a Microsoft data access API that allows applications to connect to a wide range of data sources, including SQL Server, Access, Excel, and more. Unlike ODBC, which is limited to relational databases, OleDb also supports non-relational and file-based data.

Import text file to OleDb with Advanced ETL Processor
Performance Note: OleDb is one of the slowest methods for working with data. If possible, we strongly recommend using ODBC or native/direct database connections for significantly faster performance and better reliability.

Why Use Advanced ETL Processor?

  • No scripting or coding required
  • Connect to any OleDb-compatible source or destination
  • Visual field mapping and transformation
  • Built-in automation, error logging, and scheduling

How to Import Text Files Using OleDb

  1. Launch Advanced ETL Processor Enterprise
  2. Create a Source Directory Connection
    Select the folder containing your text files.
  3. Set Up an OleDb Connection
    Choose the correct OleDb provider (e.g., for Access or Excel) and configure the connection string.
  4. Create a New Transformation
    • Right-click a transformation group → New
  5. Configure the Text Reader
    • Set file masks such as *.csv or *.txt
    • Choose the correct delimiter, encoding, and column headers
  6. Configure the OleDb Writer
    • Select the OleDb connection
    • Choose the destination table
    • Set insert/update/merge actions
  7. Map Fields Visually
    • Drag and drop from source to target fields
    • Apply data cleaning, formatting, or conversion logic
  8. Execute and Validate
    • Click Execute to run
    • Check logs for rows processed and error messages
  9. Automate the Workflow
    • Set up time-based scheduling or event triggers
    • Chain this import with other tasks

Compatible OleDb Targets

  • Microsoft Access (.mdb, .accdb)
  • Microsoft Excel (.xls, .xlsx)
  • SQL Server and Azure SQL
  • File-based or custom data providers via OleDb

Where this import fits

Import Text to OleDb is useful when Text data needs to feed OleDb, reporting databases, operational systems, migration jobs, or downstream ETL workflows. Use it when the same import needs validation, mapping, transformations, scheduling, and logs instead of another manual load.

Do not automate the import until the source layout, target table, key fields, write mode, and failure behaviour are agreed. Automation repeats rules; it does not rescue unclear ones.

Business usage examples

Importing logs, exports, or survey results into Access

Import Text data into OleDb with a repeatable, logged workflow instead of a manual load.

Building hybrid workflows with Excel and databases

Import Text data into OleDb with a repeatable, logged workflow instead of a manual load.

Feeding legacy tools and dashboards with structured data

Import Text data into OleDb with a repeatable, logged workflow instead of a manual load.

Watch It in Action

FAQ

Can Advanced ETL Processor import Text to OleDb?

Yes. Advanced ETL Processor can read Text, map fields, validate data, write to OleDb, and log the import.

Do I need to write scripts for the import?

No scripting is required for the normal import workflow. You can configure the reader, writer, mapping, validation, and schedule visually.

Can the Text import run on a schedule?

Yes. The package can run on a schedule, process matching Text files, archive originals, and write rows to OleDb with the same validation rules each time.

Can imported data be transformed before loading?

Yes. You can clean values, convert data types, calculate fields, split columns, and apply lookup rules before writing to the target.

Can bad rows be logged or rejected?

Yes. Add validation rules so rejected rows, failed files, row counts, and error details are visible after each run.

What should I check before the first production import?

Check source layout, target table, key fields, data types, date formats, write mode, archive folder, and failure handling.

When should I not automate the import yet?

Do not automate it until the source layout, target table, key fields, and bad-row handling are clear. Automation repeats rules; it does not invent them.

Can I test the import before buying?

Yes. Download the fully functional 30-day trial, build one small import, and test it with a deliberately awkward sample file.

Stop struggling with fragile ETL scripts. Start shipping reliable workflows.

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