How does Kondado replicate data from Amazon S3 to Google Sheets?

Kondado connects to your Amazon S3 buckets using your credentials and monitors for CSV files matching your specified prefixes. When new files appear or existing ones change, the platform reads the data using your configured delimiters and column settings, then writes the contents to your designated Google Sheets destination on the schedule you define.

What file formats can I send from S3 to Google Sheets?

Currently, Kondado supports CSV Files from Amazon S3, allowing you to specify column delimiters and file prefixes to target specific datasets. The pipeline handles standard comma-separated values and other delimiter types, transforming raw storage files into structured spreadsheet rows ready for analysis in Google Sheets .

How often does my Amazon S3 data update in Google Sheets?

You configure the update frequency when setting up your pipeline, choosing intervals from every 5 minutes for near-real-time monitoring to daily batches for summary reporting. The system checks your S3 bucket at these scheduled intervals and replicates any new or changed data to keep your spreadsheets synchronized with your storage.

Can I combine Amazon S3 data with other sources in the same Google Sheet?

Yes, you can create unified dashboards by replicating data from multiple sources into the same or different tabs within Google Sheets . Combine S3 CSV data with information from BigQuery , PostgreSQL , or other supported platforms to build comprehensive reports that span your entire data ecosystem.

Does Kondado support multiple S3 buckets in one Google Sheets workbook?

Absolutely, you can configure separate pipelines for different S3 buckets or folders, each writing to distinct worksheets within your Google Sheets workbook. This allows you to organize data from various departments or projects into separate tabs while maintaining a single collaborative document for your team.

What happens to my existing formulas when S3 data refreshes?

Kondado writes data to specific ranges within your Google Sheets, preserving existing formulas, charts, and formatting in other cells. You can designate destination tabs for your S3 data while keeping calculation sheets separate, ensuring your automated reports continue to function correctly after each refresh.

Can I filter which CSV files get replicated from my S3 bucket?

Yes, the CSV Files pipeline includes file prefix filtering that lets you target specific naming patterns or folder paths within your S3 buckets. This ensures only relevant datasets, such as daily sales exports or weekly inventory reports, get replicated to your spreadsheets while ignoring temporary or unrelated files.

Send data from Amazon S3 to Google Sheets

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Send Amazon S3 Data to Google Sheets Automatically

Sending data from Amazon S3 to Google Sheets enables teams to transform raw cloud storage files into collaborative spreadsheets for immediate analysis and stakeholder reporting. With Kondado, you can automate this workflow without writing any code, replicating CSV files and other structured datasets from your S3 buckets directly into Google Sheets on a schedule that perfectly fits your operational needs. The platform handles all data transfer operations in the background, ensuring your spreadsheets stay current with the latest file updates from your cloud storage. Whether you require near-real-time updates every five minutes or prefer consolidated daily summaries, the replication process runs automatically once configured, freeing your team to focus on insights rather than manual data imports.

Kondado provides a direct integration between Amazon S3 and Google Sheets, allowing you to replicate CSV files from S3 buckets to spreadsheets on a configurable schedule ranging from 5 minutes to daily intervals, with automatic data refresh and no coding required.

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The CSV Files pipeline extracts structured data from your S3 storage and delivers it into Google Sheets with configurable parsing options including custom delimiters and file prefixes. Once your CSV data lands in Google Sheets, you can build custom reports using pivot tables and charts, combine it with data from other sources to create unified dashboards, or share live spreadsheets with stakeholders across your organization. Marketing teams can analyze campaign exports stored in S3 while finance teams reconcile billing files without manual imports. This automation eliminates tedious downloading and copying tasks, enabling analysts to spend more time deriving actionable insights from their cloud storage assets.

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Dynamic data

Kondado automatically reads the schema of your Amazon S3. All tables, views, and fields available in your account are extracted without manual configuration.

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What Kondado extracts

CSV Files

Includes fields such as Start reading date, Column delimiter, and File prefix, enabling efficient data reading and organization.

Integration	Description
CSV Files	Includes fields such as Start reading date, Column delimiter, and File prefix, enabling efficient data reading and organization.

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How to send Amazon S3 data to Google Sheets

Sync data automatically — no code, no manual exports.

Connect Amazon S3 to Kondado

Log into Kondado and add Amazon S3 as a new data source by entering your AWS access credentials and specifying your bucket region. The platform validates your connection to ensure it can read files from your specified S3 storage locations.

Configure Google Sheets Destination

Select Google Sheets as your destination and authenticate with your Google account to authorize data writing. Choose the specific spreadsheet and worksheet where your S3 CSV data should be delivered.

Select Data and Set Schedule

Create a CSV Files pipeline from your S3 bucket, setting file prefixes and column delimiters to target specific datasets. Define your update frequency, selecting from intervals between 5 minutes and daily, to automate data replication on your preferred timetable.

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