Synchronize your Google Sheets with Postgres

For Google Sheets, this automated workflow synchronizes data with Postgres on a scheduled basis, ensuring your databases are always up-to-date. It efficiently retrieves, compares, and updates relevant fields, streamlining data management and reducing manual entry errors.

7/4/2025
10 nodes
Medium
schedulemediumschedule triggercomparedatasetssplitoutgooglesheetspostgresqlsticky noteautomationcrondatabasedata
Categories:
Data Processing & AnalysisSchedule TriggeredMedium Workflow
Integrations:
Schedule TriggerCompareDatasetsSplitOutGoogleSheetsPostgreSQLSticky Note

Target Audience

Target Audience


- Data Analysts: Professionals who need to synchronize data between Google Sheets and PostgreSQL for analysis.
- Business Owners: Individuals looking to automate data management tasks to save time and reduce errors.
- Developers: Those who want to integrate Google Sheets with PostgreSQL in their applications.
- Data Scientists: Users who require up-to-date datasets for machine learning or reporting purposes.

Problem Solved

Problem Solved


- Data Discrepancies: This workflow addresses the common issue of data discrepancies between Google Sheets and PostgreSQL by ensuring both datasets are synchronized regularly.
- Manual Data Entry Errors: Automating the synchronization process reduces the likelihood of human errors that can occur during manual data entry.
- Time Consumption: It saves significant time by automating data retrieval and updates, allowing users to focus on analysis rather than data management.

Workflow Steps

Workflow Steps


1. Schedule Trigger: The workflow is initiated on a defined schedule (e.g., every hour).
2. Retrieve Sheets Data: Data is fetched from a specified Google Sheets document.
3. Select Rows in Postgres: Existing rows are selected from a PostgreSQL database to compare with the retrieved data.
4. Split Out Relevant Fields: The relevant fields (first name, last name, town, age) are extracted from the retrieved data for comparison.
5. Compare Datasets: The workflow compares the data from Google Sheets with the data from PostgreSQL, identifying new and updated records.
6. Insert Rows: New records from Google Sheets are inserted into the PostgreSQL database.
7. Update Rows: Existing records in PostgreSQL are updated with any changes found in the Google Sheets data.

Customization Guide

Customization Guide


- Credentials Setup: Users need to input their Google Sheets and PostgreSQL credentials in the respective nodes to enable connections.
- Sheet and Table Selection: Adjust the Google Sheets document ID and sheet name, as well as the PostgreSQL table and schema to match the user's specific requirements.
- Modify Queries: Users can customize the Insert and Update queries to ensure the correct data is being updated in the PostgreSQL table based on their needs.