Import Excel to Posgresql Automatically
Looking to import data from Excel 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.
PostgreSQL is a powerful, open-source relational database system known for its standards compliance, extensibility, and robust feature set. It’s a go-to choice for developers and enterprises needing reliability and advanced SQL capabilities. Automating imports from Excel into PostgreSQL can help teams streamline data loading and reduce manual intervention.
Video Demonstration
Watch a general data-import walkthrough showing how to connect databases, map fields, and run an import in Advanced ETL Processor.
Step-by-Step Guide: Import Excel into PostgreSQL
- Open Advanced ETL Processor Enterprise
- Set up a PostgreSQL connection with your hostname, port, database, and credentials.
- Create a Directory connection to the folder where your Excel files are stored.
- Create a new Transformation:
- Select or create a Transformation group
- Right-click and select New
- Delete the default Validator object for a cleaner workspace.
- Edit the Data Reader object:
- Point to the Excel file (.xls or .xlsx)
- Choose the sheet, named range, or table
- Use file masks (e.g.,
*.xlsx) for batch imports
Advanced ETL Processor reads Excel files directly - no pre-formatting or manual cleanup required.
- Configure the Data Writer:
- Select your PostgreSQL connection
- Choose an existing table or create a new one
- Map Fields:
- Open the Transformer object
- Match Excel columns to PostgreSQL fields using drag-and-drop
- Use AutoMap to speed up matching
- Apply optional data transformations like trimming, formatting, and type conversion
- Run the Import:
- Click Execute to load the data
- Review logs for errors, processed row count, and load status
- Automate if Needed:
- Schedule the import to run hourly, daily, or on event triggers
- Integrate into larger workflows using conditions or scripting
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 Excel import workflows.
FAQ
Can Advanced ETL Processor import Excel to Posgresql?
Yes. Advanced ETL Processor can read Excel, 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 Excel import run on a schedule?
Yes. The package can run on a schedule, process matching Excel 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 Excel-to-Posgresql Imports
Download the fully functional 30-day trial and build your first import using your own Excel and Posgresql databases.
Direct download. No registration required.