Import QVX to PostgreSQL Automatically
Looking to import data from QVX to PostgreSQL?
Advanced ETL Processor Enterprise provides everything you need to automate the data import without writing custom scripts. Visually map and transform your fields, then run the Import immediately or schedule it to repeat automatically.
A QVX (QlikView Data eXchange) file is a structured, compressed format used by Qlik products. It enables fast export and import of large datasets but is not directly supported by PostgreSQL or most RDBMS tools.
With Advanced ETL Processor, you can read QVX files natively and push their content into PostgreSQL tables easily and reliably.
Video Tutorial
Watch a general data-import walkthrough showing how to connect databases, map fields, and run an import in Advanced ETL Processor.
How to Import QVX to PostgreSQL - Step-by-Step
1. Launch Advanced ETL Processor
Within the object tree:
- Create a new Directory Connection for QVX source files
- Create a new PostgreSQL Connection as the target
2. Create a New Transformation
Right-click on a transformation group and select New to open the dataflow designer.
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 PostgreSQL Writer
- Double-click to open Writer Properties
- Set data target type to PostgreSQL
- Select the PostgreSQL connection and target table
5. Map and Transform Fields
Connect fields manually or use AutoMap. You can also:
- Rename or reorder columns
- Apply data type conversions
- Use trimming, formatting, or formulas
6. Run the Transformation
Click Run (Green Arrow) to import the QVX file into PostgreSQL. You can run it once or schedule it for recurring execution.
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.
FAQ
Can Advanced ETL Processor import QVX to PostgreSQL?
Yes. Advanced ETL Processor can read QVX, map fields, validate data, write to PostgreSQL, 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 PostgreSQL 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.
Automate Your QVX-to-PostgreSQL Imports
Download the fully functional 30-day trial and build your first import using your own QVX and PostgreSQL databases.
Direct download. No registration required.