Airtable + Amazon S3
Airtable is a collaborative data organization and management platform that combines spreadsheets and databases in a visual way. Snowflake is a cloud-based platform for data storage, integration, and analytics, offering scalability, flexibility, and cost efficiency.
With Erathos, Airtable data lands in Amazon S3 as organized, query-ready files, without your team having to write a single line of ETL script. This paves the way for querying via Athena or Spark and archiving full history without the costs of a traditional data warehouse.
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Connect your source
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Configure the sync
Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.
Choose your destination
Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.
What Airtable data does Erathos sync with Snowflake?
The integration automatically syncs the main Airtable objects:
- Core entities objects and records synced automatically
- Custom fields personalized properties included in the sync
- Historical data full initial load and incremental updates
Why sync Airtable with Amazon S3?
In Amazon S3, Airtable data is available in an open format, ready to be queried via Athena, Spark, or any analytics engine, without being tied to a specific data warehouse.
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 Amazon S3 costs predictable. You choose the sync frequency (from 5 minutes to daily), the objects to sync, and the destination dataset. Every run is logged with full observability: execution time, rows processed, errors with context, and instant alerts via Slack or email if something goes wrong.
Centralizing Airtable data in Amazon S3 has never been so simple
Erathos is a data ingestion platform built for reliability, visibility, and control. With the Airtable connector, you can automatically move operational and business data to Amazon S3—with complete observability for every run and zero maintenance.
Data in your data warehouse in minutes
Airtable connector ready to use
Connect Airtable to Amazon S3 in minutes with our native connector. Data is synced automatically—no code required and with complete observability for every run.
Learn moreTotal control over your Airtable pipelines
Configure the frequency, partitioning, and format of files generated in S3. Data arrives organized by date and time—ready for Athena, Spark, or any tool.
Learn moreEnd-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.
Learn moreBuilding data-driven stories
“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”
“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”
“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”
“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”
“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”
“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”
Other paths for your data
Other destinations for Airtable
Other sources that land in Amazon S3
CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.
Frequently Asked Questions
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.
Erathos automatically syncs the main Airtable objects and entities to Amazon S3. To check which specific tables and fields are available in the Airtable connector, see our documentation or contact our support team.
You can configure synchronization 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 Amazon S3 costs predictable.
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.
Yes. Every Erathos connector includes a 14-day free trial. Connect Airtable to Amazon S3 and start syncing immediately—no credit card required.