Import QVD to Posgresql Automatically
Looking to import data from QVD to Posgresql?
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 QVD (QlikView Data) file is a proprietary file format used by QlikView and Qlik Sense to store structured data in a compressed, high-performance format. While great for analytics within Qlik, it is not directly compatible with PostgreSQL - unless you use an ETL tool that supports it.
Video: Watch the Data Import in Action
Watch a general data-import walkthrough showing how to connect databases, map fields, and run an import in Advanced ETL Processor.
How to Import QVD to PostgreSQL - Step-by-Step
1. Launch Advanced ETL Processor
Start the Enterprise Edition of Advanced ETL Processor. Go to Tools > Connections and configure connections for both QVD files and your PostgreSQL database.
2. Create a New Transformation
Right-click on a transformation group and select New. This opens the dataflow canvas.
3. Update Reader Properties
- Drag the QVD Reader onto the canvas (if not already placed)
- Double-click to open the Properties dialog
- Select the appropriate QVD connection
- Select the QVD file you want to import
4. Update Writer Properties
- Drag the PostgreSQL Writer onto the canvas (if not already placed)
- Double-click to open the Properties dialog
- Select the appropriate PostgreSQL connection
- Select the target schema and table
5. Map and Transform Data
Connect fields between the QVD Reader and PostgreSQL Writer. Use the AutoMap feature or manually map fields. Apply transformations such as trimming, type conversion, and formatting directly within the interface.
6. Run the Import
Click Execute to run the transformation. The QVD data will be imported into your PostgreSQL database. Save the transformation for reuse or automation.
7. Automate and Monitor
- Use the built-in scheduler to run the job on a schedule
- Trigger jobs based on file availability or system events
- Enable logging, error alerts, and rollback capabilities
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 QVD import workflows.
FAQ
Can Advanced ETL Processor import QVD to Posgresql?
Yes. Advanced ETL Processor can read QVD, map fields, validate data, write to Posgresql, 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 QVD import run on a schedule?
Yes. The package can run on a schedule, process matching QVD files, archive originals, and write rows to Posgresql 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 QVD-to-Posgresql Imports
Download the fully functional 30-day trial and build your first import using your own QVD and Posgresql databases.
Direct download. No registration required.