BigQuery to Google Sheets

Automate BigQuery to Google Sheets integration

Enjoy a fast and easy way to connect BigQuery to Google Sheets for automated exports of SQL queries on a custom schedule, such as every hour or every day depending on your needs.

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Why connect BigQuery to Google Sheets

Build reports and charts

Use spreadsheets as a solution to automate reporting for your business or projects. Send data from Google BigQuery to Google Sheets on a custom schedule aligned with your reporting terms. Create interactive dashboards and add visualizations to your Google Sheets reports that will be automatically updated with the data exported from BigQuery.

Share data with stakeholders

Use the BigQuery Google Sheets integration as a way to share pieces of data with stakeholders without giving them access to your BigQuery dataset. Connect a spreadsheet with a dataset stored in BigQuery and automate export of the selected data directly into Google Sheets. Share only the spreadsheet containing the imported query results with your teammates, partners or third-parties, maintaining the security of your BigQuery data.

Consolidate information from multiple sources

Blend the SQL queries from BigQuery with the records you can load from other sources and apps including CRM tools, time-tracking apps, and so on. Use the consolidated data gathered from multiple sources in one master spreadsheet to analyze the efficiency of your workflows, calculate actionable metrics and other essential analytical needs and requirements.

What you can pull from Google BigQuery to Google Sheets

01. An entire table

SELECT * FROM… is the basic SQL query you can use to export all table rows from BigQuery to Google Sheets. Set up a schedule for recurring data refresh to keep the data in Google Sheets up to date with the information in BigQuery.

02. A custom data range

Select specific columns, define the sort order, and enjoy other options to select custom data ranges in BigQuery for export. Enjoy the SQL power to transform the data before loading it to a spreadsheet, instead of having to do this afterwards. Automate the refresh of BigQuery export to Google Sheets with a few clicks.

03. Concatenated tables

Import concatenated tables to Google Sheets using a custom query instead of setting up separate importers for different tables. Combine data from multiple tables using the JOIN operations and load the results from BigQuery to Google Sheets at a frequency you need. Optimize your queries to extract as refined data as possible so it can be loaded to spreadsheets.

How to automate BigQuery export to Google Sheets

Step 1. Select BigQuery as a source app and connect your BigQuery project
2 minutes
Step 2. Enter or copy and paste an SQL query for export
15 seconds
Step 3. Select Google Sheets as a destination app and connect your Google account
30 seconds
Step 4. Select a spreadsheet and a sheet where to load the exported data
15 seconds
Step 5. Set up a schedule to automate export BigQuery to Google Sheets and run the integration
20 seconds

Why use Coupler.io to export BigQuery to Google Sheets?

Coupler.io is a perfect solution for loading data from BigQuery to Google Sheets on an on-going basis. You can automate reporting, share pieces of data from BigQuery, and cover other needs with scheduled exports. Coupler.io also provides additional features, such as date and time macros or append mode, designed to optimize your experience in building ETL pipelines.

You can set up automated data flows between BigQuery and Google Sheets without any coding in Apps Script, Python, or other programming language. An SQL query and a few clicks will do the job. In addition, you are not limited to simple queries that select an entire table in BigQuery. If necessary, you can specify columns, sorting order, and other criteria for querying your BigQuery datasets.

BigQuery

Google Sheets