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Airtable + BigQuery
Airtable is a collaborative data organization and management platform that combines spreadsheets and databases in a visual way. BigQuery, in turn, is a serverless Big Data solution developed by Google that provides robust storage and large-scale analytics capabilities.
With Erathos, you can integrate data from Airtable into BigQuery in just a few minutes. Our platform handles the entire data movement process into your analytics environment and lets you combine that data with other sources in your Data Warehouse. That way, your time is spent on what truly creates value — turning data into insights and making more data-driven decisions.
Which Airtable data does Erathos sync with BigQuery?
The integration automatically syncs Airtable's main objects:
Main entities — objects and records synced automatically
Custom fields — custom properties included in the sync
Historical data — full initial load and incremental updates
Why sync Airtable with BigQuery?
Centralizing Airtable data in BigQuery eliminates the manual work of exports and spreadsheets — and lets your team combine this information with other sources for analyses that were previously impossible. An automatically updated data warehouse is the foundation for faster, more reliable decisions.
How it works
Erathos connects to Airtable via the official API and syncs your data incrementally — only new or updated records are processed in each run, keeping pipelines fast and BigQuery costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the target dataset. Each run is fully observable: execution time, rows processed, errors with context, and instant alerts via Slack or email if something goes wrong.
No credit card required.
Why do data teams choose Erathos for Airtable?
Airtable connector ready to use
Connect Airtable to BigQuery in minutes with our native connector. Data is synced automatically—no code required, with complete observability for every run.
Total control over your Airtable pipelines
Configure schedule, frequency, and sync type at the table level. Incremental synchronization processes only new or modified records—keeping BigQuery costs low and your analyses always up to date.
End-to-end observability
No more finding out about Airtable failures when the business team starts complaining. Every run is logged with runtime, processed rows, and error context. Automatic alerts via Slack, Discord, or email the moment something drifts from expected behavior—so your data stays up to date and ready for analysis.
Why companies move data from Airtable to BigQuery with Erathos
Centralizing Airtable data in BigQuery has never been so simple.
Erathos is a data ingestion platform built for reliability, visibility, and control. With the Airtable connector, you automatically move operational and business data to BigQuery—with complete observability for every run and zero maintenance.
Our Customers
Trusted by data-driven companies
Simplified data ingestion
1
Select your data source
More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and create a streamlined path forward.
2
Setup your pipeline
Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.
3
Select your data warehouse
Choose between Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data
FAQ
What is Erathos and how can it help my company?
Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Airtable to their data warehouse—with complete observability into every run, zero maintenance, and none of the opacity of traditional market tools.
What Airtable data does Erathos sync to BigQuery?
Erathos automatically syncs the main Airtable objects and entities to BigQuery. To check which specific tables and fields are available in the Airtable connector, see our documentation or contact our support team.
How often does Erathos synchronize data from Airtable to BigQuery?
You can configure the sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental synchronization—only new or updated records are processed in each run, keeping the Airtable pipeline efficient and BigQuery costs predictable.
What happens if an Airtable sync fails?
Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context—not just "job failed." Smart retries handle transient errors, and every execution is logged with run time, processed rows, and error context so your team can debug in minutes, not hours.
Is there a free trial period for the Airtable connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect Airtable to BigQuery and start syncing immediately — no credit card required.