This n8n workflow automates the process of synchronizing data between Google Sheets and a PostgreSQL database by periodically fetching, comparing, and updating records. It starts with a schedule trigger that initiates the workflow at regular intervals, then retrieves data from Google Sheets and specific rows from PostgreSQL. The workflow splits out relevant fields such as first name, last name, town, and age for comparison. Using the Compare Datasets node, it identifies differences based on matching fields like first and last names. The workflow then either inserts new records or updates existing ones in the PostgreSQL database, ensuring data consistency without duplicates. Practical use cases include maintaining customer records, inventory lists, or any data that requires synchronization across multiple platforms, reducing manual effort and error.
Automated Data Synchronization Between Google Sheets and Postgres
Node Count | 6 – 10 Nodes |
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Nodes Used | compareDatasets, googleSheets, postgres, scheduleTrigger, splitOut, stickyNote |
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