Import QVX to ODBC Automatically
Need to load QlikView or Qlik Sense QVX files into an ODBC-compatible database such as Informix, Progress, or IBM DB2? With Advanced ETL Processor, you can automate the process without writing SQL or using intermediary formats.
What Is a QVX File?
A QVX (QlikView Data eXchange) file is a structured, columnar format used by Qlik tools for efficient data storage and exchange. However, most traditional databases do not support it natively - making direct integration difficult without an ETL tool.
Advanced ETL Processor natively supports QVX reading and allows you to push the data into any ODBC-connected system without any scripting or manual effort.
Why Import QVX to ODBC-Compatible Databases?
- Load QVX data into any database that supports ODBC drivers
- Enable advanced reporting, querying, and business logic outside Qlik
- Centralize Qlik data with enterprise systems and data warehouses
How to Import QVX to ODBC - Step-by-Step
1. Launch Advanced ETL Processor
From the object tree:
- Create a Directory Connection for the QVX source folder
- Create a new ODBC Connection for the target database
2. Create a New Transformation
Right-click on a transformation group and select New to open the canvas.
3. Configure QVX Reader
- Double-click to open Reader Properties
- Set datasource type to QVX
- Select Source Connection Directory
- Select your QVX file and verify its structure
4. Configure ODBC Writer
- Double-click to open Writer Properties
- Set data target type to ODBC
- Select the ODBC DSN and the target table
5. Map and Transform Fields
Use AutoMap or connect fields manually. You can:
- Convert column types
- Apply cleansing and validation
- Format data with expressions or rules
6. Run the Transformation
Click Run (Green Arrow) to import QVX data into the ODBC database. You can run it manually or on a schedule.
Automation and Monitoring
- Schedule tasks based on time or file presence
- Log execution results, generate audit trails
- Trigger alerts and rollbacks on errors
Where this import fits
Import QVX to ODBC is useful when QVX 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 QVX import workflows.
Business usage examples
Qlik connector output
Load QVX connector exports into ODBC so downstream systems can use the same governed dataset.
Analytics exchange
Import QVX files into ODBC for shared reporting, migration, or data warehouse staging.
Repeatable BI handoff
Schedule QVX imports into ODBC with mapping, validation, and logs before reports depend on the data.
Video Tutorial
FAQ
Can Advanced ETL Processor import QVX to ODBC?
Yes. Advanced ETL Processor can read QVX, 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 QVX import run on a schedule?
Yes. The package can run on a schedule, process matching QVX 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.
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