Automate Google Sheets & Postgres Data Sync for Real-time Updates
Automate Google Sheets data synchronization with Postgres, eliminating manual updates and ensuring real-time data accuracy with zero human effort.
Manually keeping a Postgres database updated with Google Sheets data is time-consuming and error-prone. This workflow automates the synchronization, ensuring your database reflects the latest Google Sheets changes instantly.
Documentation
Automated Google Sheets to Postgres Synchronization
This n8n workflow provides a robust solution for businesses needing to keep their Postgres database constantly updated with data from Google Sheets. It automatically detects new records and changes, ensuring data consistency across your platforms without manual intervention.
Key Features
- Scheduled data synchronization: Automatically fetches and updates data at regular intervals.
- Intelligent data comparison: Identifies new rows for insertion and existing rows for updates using defined keys.
- Customizable field mapping: Easily select and map specific data fields from your Google Sheet to your Postgres table.
- Reliable data consistency: Prevents discrepancies and ensures your database always reflects the most current information.
How It Works
This workflow is triggered on a recurring schedule (default hourly). It simultaneously retrieves all rows from your designated Google Sheet and your Postgres database table. The 'Split Out Relevant Fields' node then extracts specific columns (e.g., first_name, last_name, town, age) from the Google Sheet data. These two datasets are fed into the 'Compare Datasets' node, which intelligently identifies new records from the Google Sheet (based on 'first_name' as a merge key) for insertion into Postgres and existing records that have been modified for updates. Finally, separate Postgres nodes handle the 'Insert Rows' and 'Update Rows' operations, ensuring your database remains perfectly synchronized.