Google Sheets + BigQuery

Google Sheets is a cloud-based collaborative spreadsheet app with advanced editing and automation capabilities. BigQuery, on the other hand, is Google’s serverless Big Data solution, providing robust storage and large-scale data analytics capabilities.

With Erathos, you can integrate data from Google Sheets into BigQuery in just a few minutes. Our platform handles the entire data movement process into your analytics environment and makes it easy to combine that data with other sources in your Data Warehouse. That means your time can go toward what really creates value — extracting actionable insights and making more data-driven decisions.

What Google Sheets data does Erathos sync to BigQuery?

The integration automatically syncs the main Google Sheets objects:

Selected tabs — any spreadsheet 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 several spreadsheets to the same destination

Why sync Google Sheets with BigQuery?

Spreadsheets are flexible and ubiquitous, but they don’t scale for analytics. By moving Google Sheets data into BigQuery, you eliminate the risk of manual errors, enable multiple analysts to work from the same source of truth, and make it possible 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 in each run, keeping pipelines fast and BigQuery costs predictable. You choose the sync frequency (from every 5 minutes to daily), which objects to sync, and the target dataset. Every run is fully observable: execution time, processed rows, contextual error details, and instant alerts via Slack or email if something goes wrong.

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No credit card required.

Why do data teams choose Erathos for Google Sheets?

Data in your data warehouse in minutes

Ready-to-use Google Sheets connector

Connect your Google Sheets to BigQuery 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 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

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.

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Book a demo

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Why Companies Move Data from Google Sheets to BigQuery with Erathos

Centralizing Google Sheets data into BigQuery has never been easier.

Erathos is a data ingestion platform for teams that work with spreadsheets and need to automate data warehouse updates. With the Google Sheets connector, you can keep BigQuery always up to date—without scripts, without manual ETL, and with full observability.

Our Customers

Writing data-driven stories

1
Bruno Rosso
Data Analyst
Every new source implementation, if I had to do it alone, would take me about two or three months. With Erathos, it's done in a few hours. I don't need a data engineer's skillset to deliver real value with company data.
10
Luis Ribas
CTO
I can describe my experience with Erathos as seamless; we had no major issues migrating from our old data pipeline platform. Their support is always impeccable, both in answering questions and resolving issues. I highly recommend them, without a doubt.
11
Sayuri Valente
Project Manager
The robustness and efficiency of Erathos's connectors—whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul—make the entire pipeline much faster and more reliable. The technical documentation is extremely well-crafted and intuitive, which greatly legacy simplifies implementation.
2
Kauê Raizer
Co-founder
Centralizing our data with Erathos gave us a roadmap to structure the company: today, we can view NPS and churn in a consolidated way and use that to drive decisions. If I were to give advice to another founder, it would be: centralize your data from day one.
3
Matheus Nunes
CTO & Co-founder
Erathos revolutionized data management at WE. By integrating multiple SaaS platforms into a single DW, our engineering team can now focus on the core business. We implemented dashboards providing insights across all departments, enriching our data culture and streamlining decision-making.
4
Fernando R.
Head of Data
Erathos brought an incredible boost in productivity. With no worries about data ingestion, the team focused on strategy rather than pipeline maintenance. Implementing a new connector takes minutes, and the reliability is outstanding. It was one of the best decisions we've made.
5
Carlos Schwabe
Co-Founder & CDO
We used to have a lot of rework, but not anymore. Working this way is much more efficient. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.
6
Fernando Costa
CTO & Co-founder
It was impossible to run our operations on spreadsheets. Erathos was a perfect fit: they became the data engineer I didn't have. We managed to reduce analysis time, establish weekly data rituals, and, most importantly, trust the data we use.
7
Thiago Paz
CFO
If I didn't have this infrastructure, I would need three or four people to do what Erathos does today. I was able to drive real value from my data with a much leaner team than I ever imagined needing.
8
Felipe Corrêa
CTO & Co-founder
Erathos is essential for anyone looking for a quick go-live when centralizing data from multiple sources. We successfully integrated 6 different data sources in a single day, something that would have taken weeks without Erathos.

1
Bruno Rosso
Data Analyst
Every new source implementation, if I had to do it alone, would take me about two or three months. With Erathos, it's done in a few hours. I don't need a data engineer's skillset to deliver real value with company data.
10
Luis Ribas
CTO
I can describe my experience with Erathos as seamless; we had no major issues migrating from our old data pipeline platform. Their support is always impeccable, both in answering questions and resolving issues. I highly recommend them, without a doubt.
11
Sayuri Valente
Project Manager
The robustness and efficiency of Erathos's connectors—whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul—make the entire pipeline much faster and more reliable. The technical documentation is extremely well-crafted and intuitive, which greatly legacy simplifies implementation.
2
Kauê Raizer
Co-founder
Centralizing our data with Erathos gave us a roadmap to structure the company: today, we can view NPS and churn in a consolidated way and use that to drive decisions. If I were to give advice to another founder, it would be: centralize your data from day one.
3
Matheus Nunes
CTO & Co-founder
Erathos revolutionized data management at WE. By integrating multiple SaaS platforms into a single DW, our engineering team can now focus on the core business. We implemented dashboards providing insights across all departments, enriching our data culture and streamlining decision-making.
4
Fernando R.
Head of Data
Erathos brought an incredible boost in productivity. With no worries about data ingestion, the team focused on strategy rather than pipeline maintenance. Implementing a new connector takes minutes, and the reliability is outstanding. It was one of the best decisions we've made.
5
Carlos Schwabe
Co-Founder & CDO
We used to have a lot of rework, but not anymore. Working this way is much more efficient. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.
6
Fernando Costa
CTO & Co-founder
It was impossible to run our operations on spreadsheets. Erathos was a perfect fit: they became the data engineer I didn't have. We managed to reduce analysis time, establish weekly data rituals, and, most importantly, trust the data we use.
7
Thiago Paz
CFO
If I didn't have this infrastructure, I would need three or four people to do what Erathos does today. I was able to drive real value from my data with a much leaner team than I ever imagined needing.
8
Felipe Corrêa
CTO & Co-founder
Erathos is essential for anyone looking for a quick go-live when centralizing data from multiple sources. We successfully integrated 6 different data sources in a single day, something that would have taken weeks without Erathos.

1
Bruno Rosso
Data Analyst
Every new source implementation, if I had to do it alone, would take me about two or three months. With Erathos, it's done in a few hours. I don't need a data engineer's skillset to deliver real value with company data.
10
Luis Ribas
CTO
I can describe my experience with Erathos as seamless; we had no major issues migrating from our old data pipeline platform. Their support is always impeccable, both in answering questions and resolving issues. I highly recommend them, without a doubt.
11
Sayuri Valente
Project Manager
The robustness and efficiency of Erathos's connectors—whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul—make the entire pipeline much faster and more reliable. The technical documentation is extremely well-crafted and intuitive, which greatly legacy simplifies implementation.
2
Kauê Raizer
Co-founder
Centralizing our data with Erathos gave us a roadmap to structure the company: today, we can view NPS and churn in a consolidated way and use that to drive decisions. If I were to give advice to another founder, it would be: centralize your data from day one.
3
Matheus Nunes
CTO & Co-founder
Erathos revolutionized data management at WE. By integrating multiple SaaS platforms into a single DW, our engineering team can now focus on the core business. We implemented dashboards providing insights across all departments, enriching our data culture and streamlining decision-making.
4
Fernando R.
Head of Data
Erathos brought an incredible boost in productivity. With no worries about data ingestion, the team focused on strategy rather than pipeline maintenance. Implementing a new connector takes minutes, and the reliability is outstanding. It was one of the best decisions we've made.
5
Carlos Schwabe
Co-Founder & CDO
We used to have a lot of rework, but not anymore. Working this way is much more efficient. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.
6
Fernando Costa
CTO & Co-founder
It was impossible to run our operations on spreadsheets. Erathos was a perfect fit: they became the data engineer I didn't have. We managed to reduce analysis time, establish weekly data rituals, and, most importantly, trust the data we use.
7
Thiago Paz
CFO
If I didn't have this infrastructure, I would need three or four people to do what Erathos does today. I was able to drive real value from my data with a much leaner team than I ever imagined needing.
8
Felipe Corrêa
CTO & Co-founder
Erathos is essential for anyone looking for a quick go-live when centralizing data from multiple sources. We successfully integrated 6 different data sources in a single day, something that would have taken weeks without Erathos.

1
Bruno Rosso
Data Analyst
Every new source implementation, if I had to do it alone, would take me about two or three months. With Erathos, it's done in a few hours. I don't need a data engineer's skillset to deliver real value with company data.
10
Luis Ribas
CTO
I can describe my experience with Erathos as seamless; we had no major issues migrating from our old data pipeline platform. Their support is always impeccable, both in answering questions and resolving issues. I highly recommend them, without a doubt.
11
Sayuri Valente
Project Manager
The robustness and efficiency of Erathos's connectors—whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul—make the entire pipeline much faster and more reliable. The technical documentation is extremely well-crafted and intuitive, which greatly legacy simplifies implementation.
2
Kauê Raizer
Co-founder
Centralizing our data with Erathos gave us a roadmap to structure the company: today, we can view NPS and churn in a consolidated way and use that to drive decisions. If I were to give advice to another founder, it would be: centralize your data from day one.
3
Matheus Nunes
CTO & Co-founder
Erathos revolutionized data management at WE. By integrating multiple SaaS platforms into a single DW, our engineering team can now focus on the core business. We implemented dashboards providing insights across all departments, enriching our data culture and streamlining decision-making.
4
Fernando R.
Head of Data
Erathos brought an incredible boost in productivity. With no worries about data ingestion, the team focused on strategy rather than pipeline maintenance. Implementing a new connector takes minutes, and the reliability is outstanding. It was one of the best decisions we've made.
5
Carlos Schwabe
Co-Founder & CDO
We used to have a lot of rework, but not anymore. Working this way is much more efficient. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.
6
Fernando Costa
CTO & Co-founder
It was impossible to run our operations on spreadsheets. Erathos was a perfect fit: they became the data engineer I didn't have. We managed to reduce analysis time, establish weekly data rituals, and, most importantly, trust the data we use.
7
Thiago Paz
CFO
If I didn't have this infrastructure, I would need three or four people to do what Erathos does today. I was able to drive real value from my data with a much leaner team than I ever imagined needing.
8
Felipe Corrêa
CTO & Co-founder
Erathos is essential for anyone looking for a quick go-live when centralizing data from multiple sources. We successfully integrated 6 different data sources in a single day, something that would have taken weeks without Erathos.

Trusted by data-driven companies

Simplified data ingestion

Move your data in minutes

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.

Setup your pipeline

Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.

Select your data warehouse

Choose between Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data

FAQ

Frequently Asked Questions

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 BigQuery?

Erathos connects directly to your Google Sheets spreadsheets and automatically syncs data to BigQuery on a scheduled basis. You choose which tabs and ranges to sync—your data lands in structured, analysis-ready tables.

How often does Erathos synchronize data from Google Sheets to BigQuery?

You can configure sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental synchronization—only new or updated records are processed on each run, keeping your Google Sheets pipeline efficient and BigQuery 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 BigQuery and start syncing immediately—no credit card required.

Data ingestion with control, observability, and scale

Start now