Import QVD to InterBase Automatically
Manually converting QlikView QVD files to InterBase tables can be frustrating - especially when using scripts or export tools. Advanced ETL Processor makes it easy to automate the entire process without writing a single line of code.
What Is a QVD File?
A QVD (QlikView Data) file is a high-performance, compressed format used by QlikView and Qlik Sense to store structured datasets. Although QVDs are excellent for internal analytics use, they are not supported natively by relational databases like InterBase.
What Is InterBase?
InterBase is a fast, lightweight, and secure SQL database engine developed by Embarcadero. It’s widely used in embedded systems, desktop applications, and mobile platforms thanks to its small footprint and zero-administration model.
Why Import QVD into InterBase?
- Enable SQL-based querying on QlikView data
- Embed QVD data into lightweight applications and mobile platforms
- Synchronize Qlik data with local InterBase tables for offline access
How to Import QVD to InterBase - Step-by-Step
1. Launch Advanced ETL Processor
Open the Enterprise Edition of Advanced ETL Processor. Go to Tools > Connections and ensure you’ve set up both QVD and InterBase connections.
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 InterBase Writer onto the canvas (if not already placed)
- Double-click to open the Properties dialog
- Select the appropriate InterBase connection
- Select the target database file and destination table
5. Map and Transform Data
Connect the fields between the QVD Reader and InterBase Writer using the AutoMap feature or manually. Apply transformations such as trimming, formatting, or data type conversion as needed.
6. Run the Import
Click Execute to run the transformation and import your QVD data into InterBase. You can save the transformation for reuse or future automation.
7. Automate and Monitor
- Use the built-in scheduler to run jobs automatically
- Trigger execution based on file presence or external events
- Enable detailed logging, email alerts, and rollback on error
Where this import fits
Import QVD to InterBase is useful when QVD data needs to feed InterBase, 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 QVD import workflows.
Business usage examples
Qlik reporting archive
Load QVD extracts into InterBase so reporting teams can query historical Qlik data outside the dashboard layer.
BI migration staging
Move QVD data into InterBase staging tables before validation, reconciliation, and warehouse loading.
Scheduled analytics feed
Import recurring QVD files into InterBase with logs and rejected-row handling instead of manual export steps.
Video Tutorial
FAQ
Can Advanced ETL Processor import QVD to InterBase?
Yes. Advanced ETL Processor can read QVD, map fields, validate data, write to InterBase, 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 InterBase 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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