Import Text to ODBC Automatically
Need to load CSV, fixed-width, or tab-delimited files into an ODBC-connected database? Advanced ETL Processor lets you import, transform, and automate this process without writing a single line of code. It works with any ODBC-compliant data source, including MySQL, PostgreSQL, SQL Server, Oracle, and many others.
What Is ODBC?
Open Database Connectivity (ODBC) is a standard API developed by Microsoft that allows applications to access different database systems using a common interface. It enables communication with virtually any relational database that provides an ODBC driver, making it a flexible solution for multi-database environments.
Why Use Advanced ETL Processor?
- No SQL or scripting skills required
- Works with any ODBC-compliant database
- Supports CSV, TSV, fixed-width, and custom file formats
- Drag-and-drop data transformation and mapping
- Built-in automation, error handling, and scheduling
How to Import Text Files Using ODBC
- Open Advanced ETL Processor Enterprise
- Create a Directory Connection
Connect to the folder where your text files are stored. - Set Up an ODBC Connection
Select your DSN (or create a new one) for the target database. - Create a New Transformation
- Right-click a transformation group and choose New
- Configure the Text Reader
- Use file masks like
*.csvor*.txt - Set delimiters, encoding, and header configuration
- Use file masks like
- Configure the ODBC Writer
- Select your ODBC connection
- Choose the target table and operation type (insert, update, delete, merge)
- Map and Transform Fields
- Visually drag and drop source fields to destination columns
- Apply conversions, formatting, validations as needed
- Run and Verify
- Click Execute to begin import
- Check logs for row counts, warnings, or transformation details
- Automate and Schedule
- Set up scheduled imports (hourly, daily, etc.)
- Trigger tasks based on file presence or external events
Compatible with All Major Databases
- MySQL, MariaDB, PostgreSQL
- Oracle, SQL Server, SQLite
- Access, Firebird, InterBase
- Any database with an ODBC driver
Where this import fits
Import Text to ODBC is useful when Text data needs to feed ODBC, 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.
Useful links for this import
Start with the Advanced ETL Processor Enterprise overview, then download the fully functional 30-day trial. The import-data hub lists the other Text import workflows.
Business usage examples
Recurring import jobs for flat file reporting systems
Import Text data into ODBC with a repeatable, logged workflow instead of a manual load.
Data migration from legacy exports to modern databases
Import Text data into ODBC with a repeatable, logged workflow instead of a manual load.
ETL for analytics pipelines and dashboards
Import Text data into ODBC with a repeatable, logged workflow instead of a manual load.
Watch It in Action
FAQ
Can Advanced ETL Processor import Text to ODBC?
Yes. Advanced ETL Processor can read Text, map fields, validate data, write to ODBC, 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 ODBC 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.
Download the fully functional 30-day trial. Build your first automation in 10 minutes or less.
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