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Why connect Airtable to BigQuery
Compile all your data in one destination
Get the most of your data by collecting and processing it all together in one place. Use Google BigQuery to gather information from multiple databases (Airtable, Pipedrive, etc.), accounting and financial services (Xero, QuickBooks, etc.), project-tracking platforms (Jira, Trello, etc.), and other software. Instantly perform complex manipulations and query large datasets within seconds.
Store and back up your data
Set up an automated Airtable to BigQuery integration and retrieve data from various Airtable views on your own schedule. Keep an encrypted reserve copy of your data in the BigQuery warehouse without the risk of losing any important records. Move all information about archived projects to store large amounts of data at a reasonable cost.
Create meaningful reports and dashboards
Build advanced aggregated dashboards of your data imported from Airtable and other sources. Extract different data by writing a single query and create beautiful and shareable visualizations in Google Data Studio out of the box. Make another step forward and benefit from machine learning capability inside BigQuery to perform predictive analysis.
What data to pull from Airtable to BigQuery
Hide certain columns or filter out specific rows when creating a view to choose what data you want to export from Airtable to BigQuery.
Aggregate data from different Airtable views or even accounts in one BigQuery table to process it at once, calculate and compare data among your projects.
Quickly receive up-to-date information on all your business processes with automated export of Airtable shared views. Manipulate, filter, and structure data inputs created in different formats.
Share your stats and insights with your team members and stakeholders without sharing access to your Airtable system.
How to export Airtable to BigQuery
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Step 1. Select Airtable as a data source5 seconds
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Step 2. Add a shared Airtable view link (password-protected views are supported)30 seconds
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Step 3. Connect your Google BigQuery account1 minute
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Step 4. Specify a data destination in Google BigQuery30 seconds
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Step 5. Set a schedule for data refreshes20 seconds
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Step 6. Run the importer and review the progress5 seconds
See what our customers say
"Coupler.io automatically imports the full dataset you need and it refreshes it completely on any schedule you want. No triggers necessary. And the best of all, the team is very supportive.
"The integrations are easy to set up and automate, my colleagues think I'm a genius, but it's really Coupler.io that is doing the heavy lifting.
Set up multiple integrations to count on every day
Looking to import data from Shopify, Clockify, Jira, or any other app? Not a problem. Use Coupler.io to link a data source to BigQuery to automate workflows and leverage the power of spreadsheets across all your projects!