No-code pipeline · Google Sheets → BigQuery

Send data from Google Sheets to BigQuery

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From Google Sheets to BigQuery: managed, scheduled, no code.

Kondado replicates Google Sheets data to BigQuery on a configurable schedule, enabling automated data pipelines that update every 5 minutes, hourly, or daily based on your business needs.

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Send Google Sheets Data to BigQuery Automatically

Connecting Google Sheets to BigQuery requires a reliable method to transfer spreadsheet data into your data warehouse without manual intervention. Kondado offers a direct connection that automatically replicates your Google Sheets content into structured storage within BigQuery, eliminating the need for CSV exports or complex API development. You simply authenticate your Google Sheets account, select the specific spreadsheets containing your business data, and define how frequently the replication should occur based on your operational requirements. This approach ensures your analytics environment always reflects the most recent information from your spreadsheets, enabling consistent reporting and analysis workflows across your organization.

Once your data arrives in BigQuery, you can combine it with information from other sources to build comprehensive reports in Looker Studio, Power BI, or other business intelligence tools. This seamless workflow allows marketing teams, financial analysts, and operations managers to base their decisions on current, accurate data without manual refresh cycles or complex data engineering tasks.

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The Spreadsheet pipeline captures organized data from your Google Sheets files, including fields such as col_x, col_y, and col_z, preserving the structure you have established in your source files. Once this information resides in BigQuery, you can perform complex SQL queries to analyze trends, create calculated metrics, and join spreadsheet records with data from Google Sheets or other platforms. This enables marketing teams to correlate campaign metrics with budget spreadsheets, finance departments to consolidate forecasting data, and operations managers to track inventory levels against sales figures, all within a single analytics environment.

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Replicated to BigQuery

Google Sheets data available for BigQuery

Tables Kondado writes into your BigQuery, on a schedule you control.

available pipeline

extractable fields

BigQuery

Destination

Available integrations

Spreadsheet

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

See all available data → Send Google Sheets to BigQuery →

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How to send Google Sheets data to BigQuery

Sync data automatically — no code, no manual exports.

Connect Google Sheets Account

Authenticate your Google Sheets data source in Kondado by providing your credentials and granting access to the spreadsheets you want to replicate to BigQuery.

Configure BigQuery Destination

Set up your BigQuery project and dataset details within Kondado, specifying where your Google Sheets data should be stored and how it should be organized upon arrival.

Select Data and Schedule Updates

Choose the specific spreadsheets and columns you want to replicate, then define your update frequency to automate the data transfer on a configurable schedule.

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Send data from Google Sheets to other destinations

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Choose a tool to visualize your Google Sheets data

If the software you need is not listed, drop us a messagem. You can use almost every tool

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Frequently Asked Questions (FAQ)

Answers about sending Google Sheets data to BigQuery automatically

How does Kondado replicate Google Sheets to BigQuery? ▼

Kondado establishes a direct connection to your Google Sheets account and extracts data from selected spreadsheets. The platform then loads this information into your BigQuery dataset according to your configured schedule, maintaining data types and structure throughout the transfer process.

What specific data from my spreadsheets gets replicated to BigQuery? ▼

The Spreadsheet pipeline replicates organized data including fields such as col_x, col_y, and col_z from your selected Google Sheets files. All rows and columns from your chosen spreadsheets are transferred, preserving the exact structure you have built in your source documents for accurate analysis.

How often can I schedule updates from Google Sheets to BigQuery? ▼

You can configure replication to occur every 5 minutes, 15 minutes, hourly, or daily depending on your data freshness requirements. This configurable schedule ensures your BigQuery datasets reflect recent changes without overwhelming your system with unnecessary updates.

What format does my Google Sheets data take once it arrives in BigQuery? ▼

Your spreadsheet data is stored as structured datasets within BigQuery, with each sheet mapped to distinct records that maintain your original column names and data types. This format allows you to run SQL queries immediately without additional transformation or formatting steps.

Can I combine Google Sheets data with other sources in BigQuery? ▼

Yes, once your spreadsheet data resides in BigQuery, you can join it with information from PostgreSQL, MySQL, or other supported data sources. This capability enables comprehensive analysis across multiple platforms, such as correlating marketing campaign data from Google Sheets with transaction records from SQL Server.

Do I need coding skills to set up the Google Sheets to BigQuery pipeline? ▼

No coding is required to establish the connection or configure your data replication. Kondado provides a no-code interface where you authenticate your Google Sheets account, select your data, and define your BigQuery destination through simple configuration steps.

How do I select which spreadsheets to replicate to BigQuery? ▼

During setup, you browse your available Google Sheets files and select specific spreadsheets for replication. You can choose individual sheets or multiple files, with each selection creating a distinct pipeline that maps to corresponding storage in your BigQuery dataset.

Try out all the features for free for 14 days

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Try out all the features for free for 14 days