Import QVX to SQL Server CE Automatically
Looking to import QlikView or Qlik Sense QVX files into SQL Server Compact Edition (SQL Server CE)? With Advanced ETL Processor, you can automate the process entirely - no SQL, no scripting, no intermediate conversions.
What Is a QVX File?
A QVX (QlikView Data eXchange) file is a columnar data format used by Qlik products for exporting large datasets. While efficient and structured, QVX files are not natively supported by SQL Server CE.
Advanced ETL Processor provides native QVX reading capability and writes directly into SQL Server CE with just a few configuration steps.
Why Import QVX to SQL Server CE?
- Use lightweight, embedded SQL storage for Qlik data
- Access QVX contents within mobile or offline applications
- Run local queries and reports on exported Qlik datasets
How to Import QVX to SQL Server CE - Step-by-Step
1. Launch Advanced ETL Processor
In the object tree:
- Create a new Directory Connection for QVX source files
- Create a new SQL Server CE Connection for the destination
2. Create a New Transformation
Right-click a transformation group and click New to create a new dataflow.
3. Configure QVX Reader
- Double-click to open Reader Properties
- Set datasource type to QVX
- Select Source Connection Directory
- Choose the QVX file and verify its structure
4. Configure SQL Server CE Writer
- Double-click to open Writer Properties
- Set data target type to SQL Server CE
- Select the target database file and table
5. Map and Transform Fields
Use AutoMap or drag-and-drop to connect fields. You can:
- Rename and rearrange columns
- Apply trimming, formatting, or formulas
- Convert data types for compatibility with CE
6. Run the Transformation
Click Run (Green Arrow) to import QVX data into SQL Server CE. Execute the job manually or schedule it to run automatically.
Automation and Monitoring
- Schedule QVX imports based on time or file arrival
- Enable job logging and email alerts
- Trigger actions on success, warning, or failure
Where this import fits
Import QVX to SQL Server CE is useful when QVX data needs to feed SQL Server CE, 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 SQL Server CE so downstream systems can use the same governed dataset.
Analytics exchange
Import QVX files into SQL Server CE for shared reporting, migration, or data warehouse staging.
Repeatable BI handoff
Schedule QVX imports into SQL Server CE with mapping, validation, and logs before reports depend on the data.
Video Tutorial
FAQ
Can Advanced ETL Processor import QVX to SQL Server CE?
Yes. Advanced ETL Processor can read QVX, map fields, validate data, write to SQL Server CE, 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 SQL Server CE 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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