Import JSON to ODBC Automatically
Looking to import data from JSON to ODBC?
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 ODBC-connected tables. This approach works best when the object field order is always the same, which is common for structured API responses.
- Load JSON files or JSON data from REST APIs
- Connect to any database using ODBC drivers
- Import arrays of JSON objects into target tables
- Visually map JSON fields to database columns
- 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 suitable for direct relational imports. In these cases, a staged transformation approach delivers better control and long-term stability.
Recommended Best Practice
- Convert complex JSON into XML format
- Use XSLT to transform XML into a simpler structure
- Import the transformed data through ODBC
- Maintain a stable schema and field order
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 ODBC?
Yes. Advanced ETL Processor can read JSON, map fields, validate data, write to ODBC, 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 ODBC 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-ODBC Imports
Download the fully functional 30-day trial and build your first import using your own JSON and ODBC databases.
Direct download. No registration required.