How does Kondado replicate Google Sheets data to PostgreSQL?

Kondado connects directly to your Google Sheets account and identifies available pipelines within your spreadsheets. The platform extracts selected data on your configured schedule and loads it into PostgreSQL tables with appropriate typing, handling schema creation automatically without manual SQL scripting.

What specific data from Google Sheets gets copied to PostgreSQL?

The Spreadsheet pipeline replicates organized data including fields such as col_x, col_y, and col_z from your selected sheets. This encompasses structured rows and columns from budget trackers, inventory logs, or performance dashboards that you want to analyze within your database environment.

How often does Kondado update PostgreSQL with new Google Sheets data?

Kondado performs automated updates on a configurable schedule that you set during pipeline configuration. Options include near-real-time intervals such as every 5 or 15 minutes, as well as hourly or daily frequencies depending on your business requirements and data velocity needs.

Can I combine Google Sheets data with other sources in PostgreSQL?

Yes, once your spreadsheet data resides in PostgreSQL , you can perform SQL joins with data from CRM systems, marketing platforms, or accounting software. This enables comprehensive analysis across disconnected business tools without manual CSV exports or complex spreadsheet formulas.

What format does Google Sheets data take in PostgreSQL?

Each selected pipeline creates structured tables in PostgreSQL with columns matching your spreadsheet headers and appropriate data types assigned automatically. The replicated data maintains its tabular format while gaining the relational capabilities and query performance of an open-source database environment.

Do I need to manually create PostgreSQL tables for Google Sheets data?

No, Kondado automatically generates the necessary table schemas in PostgreSQL based on your spreadsheet structure during the initial replication. The platform manages column typing and table creation, eliminating the need for manual DDL statements or database administration tasks.

Can I send Google Sheets data to PostgreSQL and BigQuery simultaneously?

Yes, you can configure multiple destinations for your Google Sheets data source, enabling parallel replication to PostgreSQL and BigQuery . This supports hybrid architectures where teams use PostgreSQL for operational analytics while maintaining data warehouse copies for broader business intelligence initiatives.

Send data from Google Sheets to PostgreSQL

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Send Google Sheets Data to PostgreSQL Automatically

Kondado enables automated data replication from Google Sheets to PostgreSQL without writing code or managing complex APIs. Users connect their Google Sheets data source, select the specific pipelines containing their spreadsheet data, and configure the destination as PostgreSQL. The platform handles the schema mapping and automated updates on a configurable schedule, ensuring your database stays current with the latest spreadsheet entries. Once configured, analysts can query current business data using SQL or combine it with information from other platforms to build comprehensive reports in Looker Studio or Power BI for deeper business intelligence.

Kondado replicates Google Sheets spreadsheet data to PostgreSQL automatically on a configurable schedule, enabling users to analyze productivity data alongside other business sources in a centralized open-source database.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

The Spreadsheet pipeline captures organized data from your Google Sheets files, replicating columns such as col_x, col_y, and col_z directly into your PostgreSQL instance. This enables analysts to maintain historical records of budget trackers, inventory lists, or campaign performance sheets while preserving data relationships across multiple tabs. Once stored in PostgreSQL, you can join this productivity data with CRM exports or financial records to create unified dashboards in Looker Studio or Power BI, transforming isolated spreadsheets into actionable business intelligence for stakeholders.

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Google Sheets data available for PostgreSQL

available pipeline

extractable fields

Available integrations

Integration	Description
Spreadsheet	Integrates organized data with fields such as col_x, col_y, and col_z, enabling detailed analysis and information cross-referencing.

Spreadsheet

Integrates organized data with fields such as col_x, col_y, and col_z, enabling detailed analysis and information cross-referencing.

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How to send Google Sheets data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Google Sheets Account

Authorize Kondado to access your Google Sheets data source by providing credentials through the secure authentication flow. Select the specific spreadsheets and worksheets containing the data you want to replicate to your database.

Configure PostgreSQL Destination

Enter your PostgreSQL connection details including host, port, database name, and credentials in the destination settings. Kondado validates the connection and prepares the environment to receive your spreadsheet data without requiring manual table creation.

Select Pipelines and Schedule

Choose the Spreadsheet pipeline and specific columns such as col_x, col_y, and col_z that you want to replicate, then set your preferred update frequency. Kondado will begin automated replication on your chosen schedule, whether every 5 minutes or daily, keeping your PostgreSQL instance synchronized with Google Sheets changes.

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