Send data from Google Sheets to Amazon S3

Get started for free

No credit card required | 14 days | 10 million records | 30 pipelines

sso google logo
Sign up with Google
sso facebook logo
Sign up with Facebook
sso microsoft logo
Sign up with Microsoft
sso linkedin logo
Sign up with Linkedin

or sign up with your email

By signing up, you agree to Kondado’s Terms of service and Privacy policy

shape
shape

Send Google Sheets Data to Amazon S3 Automatically

To send Google Sheets data to Amazon S3, you need a direct integration that automates the extraction and loading process without manual intervention. Kondado provides a no-code solution that connects your spreadsheets to your cloud storage, eliminating the need for complex scripts or repetitive CSV exports. You configure the pipeline once through our intuitive interface, and data flows continuously to your S3 bucket on your chosen schedule, whether you need updates every few minutes or once daily.

Kondado replicates Google Sheets data to Amazon S3 on a configurable schedule, converting spreadsheet contents into structured files that feed your data lake or analytics stack. This automated pipeline eliminates manual work and ensures your S3 bucket always contains the latest version of your spreadsheet data, ready for querying with Athena, Presto, or Dremio without additional preparation.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Available Pipelines and Use Cases

The Spreadsheet pipeline captures organized data from your files, including fields such as col_x, col_y, and col_z, and delivers them to Amazon S3 in a format optimized for analysis. Once your data arrives in S3, you can query it directly with Athena, join it with data from Redshift or SQL Server, or visualize it through Power BI and Looker Studio after processing. This automated flow supports use cases ranging from financial reporting and inventory tracking to marketing attribution analysis, giving analysts immediate access to current spreadsheet data without manual extraction delays.

Try out all the features for free for 14 days

Google Sheets data available for Amazon S3

1
available pipeline
3
extractable fields

Available integrations

Integration Description
Spreadsheet Integrates organized data with fields such as col_x, col_y, and col_z, enabling detailed analysis and information cross-referencing.
Spreadsheet
Integrates organized data with fields such as col_x, col_y, and col_z, enabling detailed analysis and information cross-referencing.

Try out all the features for free for 14 days

How to send Google Sheets data to Amazon S3

Sync data automatically — no code, no manual exports.

1
Connect your Google Sheets account

Authenticate your Google Sheets data source in Kondado by granting access to the spreadsheets you want to replicate. This establishes the link that allows our platform to read your selected files automatically on your configured schedule.

2
Configure Amazon S3 destination

Enter your AWS credentials and specify the S3 bucket where you want to store the replicated spreadsheet data. You can organize files by setting custom prefixes that separate different spreadsheets or projects within your storage structure.

3
Select data and set schedule

Choose the Spreadsheet pipeline and select which specific columns and rows to replicate from your Google Sheets files. Set your preferred update frequency, from every 5 minutes to daily, and activate the pipeline to begin automated replication.

Try out all the features for free for 14 days

Hundreds of data-driven companies trust Kondado
arezzo
brf
Contabilizei
dpz
Experian
grupo_soma
inpress
multilaser
olist
unimed
v4_company
yooper

Send data from Google Sheets to other destinations

Choose a tool to visualize your Google Sheets data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Frequently Asked Questions (FAQ)

Answers about sending Google Sheets data to Amazon S3 automatically

How does Kondado replicate Google Sheets to Amazon S3 without coding?
Kondado uses a direct integration that connects to your Google account and extracts data through the Spreadsheet pipeline. You authenticate your Google Sheets data source once, select the specific spreadsheets you want to replicate, and our platform handles the transformation and loading into your S3 bucket automatically. The entire configuration happens through our visual interface, requiring no Python scripts, API calls, or engineering resources.
What specific data fields from my spreadsheets get replicated to S3?
The Spreadsheet pipeline replicates organized data including fields such as col_x, col_y, and col_z from your selected Google Sheets files. You choose which columns and rows to include during setup, ensuring only relevant business data reaches your Amazon S3 storage. This selective replication helps you maintain clean datasets in your data lake without unnecessary information.
How often can I schedule updates from Google Sheets to Amazon S3?
Kondado offers a configurable schedule that lets you choose update frequencies ranging from every 5 minutes to daily intervals. You select the timing based on your business needs, whether you require near-real-time data for operational dashboards or daily snapshots for historical analysis. The platform runs automated updates on your chosen timeline without requiring manual triggers.
What file format does my Google Sheets data arrive in within Amazon S3?
Your spreadsheet data arrives in Amazon S3 as structured files optimized for analytical querying and data lake architectures. These files work seamlessly with Athena, Presto, and Dremio, allowing you to run SQL queries directly against your S3 storage without additional conversion steps. The format preserves your column structure and data types from the original Google Sheets files.
Can I combine Google Sheets data in S3 with other data sources for analysis?
Yes, once your Google Sheets data resides in Amazon S3, you can join it with information from Google Sheets, PostgreSQL, or other databases using SQL in Athena or similar query engines. This capability enables you to build unified reports in Power BI or Looker Studio that combine spreadsheet metrics with transactional data. Cross-source analysis becomes straightforward when all your information converges in S3.
Do I need to manually export CSV files before sending data to Amazon S3?
No manual exports are necessary, as Kondado automates the entire extraction process directly from your Google Sheets files. The pipeline pulls data automatically on your configured schedule, eliminating the need to download CSVs, rename files, or upload them manually to your S3 bucket. This automation ensures your data lake stays current without consuming your team's time on repetitive tasks.
How do I query my Google Sheets data once it is stored in Amazon S3?
You can query your replicated data using standard SQL through Amazon Athena, or connect business intelligence tools like Power BI and Looker Studio to your S3 bucket. Many users also leverage Presto or Dremio to create virtualized views that combine S3 data with other sources. These query layers treat your spreadsheet data like any other database table, enabling complex analytics without moving files.

Try out all the features for free for 14 days