

Google Sheets + Databricks
Google Sheets is a collaborative, cloud-based spreadsheet application with advanced editing and automation capabilities. Databricks, in turn, is a serverless Big Data solution that provides robust capabilities for storing and analyzing data at scale.
With Erathos, you can connect Google Sheets data to Databricks in just minutes. Our platform handles the entire data movement process into your analytics environment and makes it easy to join this data with other sources in your Data Warehouse. That way, your time is spent on what really drives value — turning data into meaningful insights and making more data-driven decisions.
What Google Sheets data does Erathos sync with Databricks?
The integration automatically syncs the main Google Sheets objects:
Selected tabs — any sheet tab configured for sync
Structured data — rows and columns converted into analytical tables
Incremental updates — only new or changed rows are processed
Multiple spreadsheets — connect multiple spreadsheets to the same destination
Why sync Google Sheets with Databricks?
Spreadsheets are flexible and ubiquitous, but they don’t scale for analytics. By bringing Google Sheets data into Databricks, you eliminate the risk of manual errors, let multiple analysts work from the same source of truth, and unlock the ability to combine spreadsheet data with CRM, product, and finance data in your data warehouse.
How it works
Erathos connects to Google Sheets through the official API and syncs your data incrementally — only new or updated records are processed on each run, keeping pipelines fast and Databricks 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 logged with complete observability: runtime, processed rows, errors with context, and instant alerts via Slack or email if anything goes wrong.
No credit card required.


Why do data teams choose Erathos for Google Sheets?
Ready-to-use Google Sheets connector
Connect your Google Sheets spreadsheets to Databricks and keep your data always up to date. No scripts, no manual ETL—just fresh data in your data warehouse.
Total control over your Google Sheets pipelines
Configure frequency, sync type, and partitioning by table. Data arrives in Databricks ready for ML, analytics, and ad hoc queries—with predictable cost.
End-to-end observability
Stop finding out about Google Sheets failures only after the business team complains. Every run is logged with execution time, rows processed, and error context. Automatic alerts via Slack, Discord, or email as soon as anything goes off expected behavior — keeping your spreadsheet data synced with the data warehouse.
Why companies move data from Google Sheets to Databricks with Erathos
Centralizing Google Sheets data in Databricks has never been easier
Erathos is a data ingestion platform for teams that rely on spreadsheets and need to automate data warehouse updates. With the Google Sheets connector, you keep Databricks continuously up to date—no scripts, no manual ETL, and full observability.
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 Google Sheets to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.
How does Erathos synchronize data from Google Sheets spreadsheets to Databricks?
Erathos connects directly to your Google Sheets spreadsheets and automatically syncs data to Databricks on a schedule. You choose which tabs and ranges to sync — the data lands structured in analysis-ready tables.
How often does Erathos sync data from Google Sheets to Databricks?
You can configure sync frequency at the table level, from every 5 minutes up to daily. Erathos uses incremental synchronization—only new or updated records are processed on each run, keeping your Google Sheets pipeline efficient and Databricks costs predictable.
What happens if a Google Sheets 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 Google Sheets connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect Google Sheets to Databricks and start syncing immediately—no credit card required.





























