Import JSON to PostgreSQL Automatically
Looking to import data from JSON to PostgreSQL?
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.
Advanced ETL Processor imports data from arrays of JSON objects directly into PostgreSQL tables. This works best when the object field order remains consistent across records, which is typical for structured API responses.
- Load JSON files or retrieve JSON from REST APIs
- Import arrays of JSON objects into PostgreSQL tables
- Visually map JSON fields to PostgreSQL columns
- Apply transformations, validations, and data type conversions
- Schedule imports to run automatically
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.
Handling Complex and Nested JSON
Very complex or deeply nested JSON structures are not always a good fit for direct relational imports. In these cases, a staged transformation approach provides better control and long-term maintainability.
Recommended Best Practice
- Convert complex JSON into XML format
- Use XSLT to transform XML into a simpler, flat structure
- Import the transformed data into PostgreSQL
- Keep schema and field order consistent
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 JSON import workflows.
FAQ
Can Advanced ETL Processor import JSON to PostgreSQL?
Yes. Advanced ETL Processor can read JSON, 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 JSON import run on a schedule?
Yes. The package can run on a schedule, process matching JSON 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.
Automate Your JSON-to-PostgreSQL Imports
Download the fully functional 30-day trial and build your first import using your own JSON and PostgreSQL databases.
Direct download. No registration required.