Import XML to PostgreSQL Automatically
Looking to import structured XML data into a PostgreSQL database? Advanced ETL Processor makes it easy to automate this process - no SQL scripts, no XSLT, and no manual parsing required.
What Is PostgreSQL?
PostgreSQL (often abbreviated as Postgres) is a powerful, open-source, object-relational database management system (ORDBMS). It is known for its advanced features, strong standards compliance, and reliability.
PostgreSQL supports both SQL (relational) and JSON (non-relational) querying, making it ideal for modern data-driven applications. It is widely used in web development, data warehousing, analytics, and enterprise systems.
Key Features of PostgreSQL:
- ACID-compliant transactions for data integrity
- Support for complex queries, foreign keys, views, stored procedures, and triggers
- Full-text search, indexing, and concurrency without locking
- Extensibility - create custom data types, functions, and extensions
- Cross-platform: available on Linux, Windows, macOS, and cloud providers
PostgreSQL is used by major companies and organizations such as Apple, Cisco, Fujitsu, the U.S. State Department, and many more.
Why Import XML into PostgreSQL?
- Integrate external XML data with your PostgreSQL environment
- Transform hierarchical XML into flat relational tables
- Use SQL to analyze, join, and report on XML data
How to Import XML into PostgreSQL - Step-by-Step
1. Launch Advanced ETL Processor
Open the Enterprise Edition. Under Tools > Connections, configure:
- XML File connection (input)
- PostgreSQL Database connection (output)
2. Create a New Transformation
Right-click on a transformation group and choose New to open the dataflow canvas.
3. Configure XML Reader
- Drag the XML Reader onto the canvas if necessary
- Double-click to open Properties
- Select the XML file to import
- Select Table and Record XML Tags
4. Configure PostgreSQL Writer
- Drag the PostgreSQL Writer onto the canvas if necessary
- Double-click to open Properties
- Select the PostgreSQL connection and target table
5. Map and Transform Fields
Use AutoMap or manually link fields between XML and PostgreSQL. You can also:
- Convert data types
- Trim or reformat strings
- Apply logic and formulas
6. Run the Import
Click Execute to import XML data into your PostgreSQL table. Verify the results using pgAdmin or another PostgreSQL client.
7. Automate and Monitor
- Schedule automatic imports
- Trigger jobs by file presence or system events
- Enable logging, rollback, and notifications
Where this import fits
Import XML to PostgreSQL is useful when XML data needs to feed PostgreSQL, 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 XML import workflows.
Business usage examples
Structured system feeds
Load XML exports into PostgreSQL with repeatable field mapping instead of hand-parsing nested records.
API and application integration
Import XML payloads into PostgreSQL so reports and downstream workflows can use relational data.
Scheduled XML processing
Validate XML files, route bad records, and write clean rows into PostgreSQL with clear logs.
Video Tutorial
FAQ
Can Advanced ETL Processor import XML to PostgreSQL?
Yes. Advanced ETL Processor can read XML, 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 XML import run on a schedule?
Yes. The package can run on a schedule, process matching XML 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.
Stop struggling with fragile ETL scripts. Start shipping reliable workflows.
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