How to Connect AWS Billing to Google Sheets

Published: May 7, 2025 - 3 min read

Julian Alvarado

Cloud costs can spiral quickly. By connecting AWS billing to Google Sheets through Coefficient, you gain real-time visibility into your cloud spending without leaving your familiar spreadsheet environment.

This integration gives you the power to track, analyze, and optimize your AWS costs effortlessly.

Advantages of using Google Sheets to analyze AWS billing data

  • Collaborate in real-time. Share live AWS billing data with your team, allowing multiple stakeholders to simultaneously view and analyze cloud spending patterns.
  • Access from anywhere. Review your AWS costs from any device with internet access, making it easier to stay on top of cloud spending even when you’re away from your desk.
  • Automate reporting workflows. Leverage Google Sheets’ integration with other Google Workspace tools to automate the distribution of cost reports and alerts to stakeholders.
  • Build connected dashboards. Create dynamic visualizations that automatically update as new billing data flows in, ensuring everyone has the latest view of cloud spending.

Step-by-step tutorial: Connecting AWS billing to Google Sheets

Before starting, make sure you have the Coefficient add-on installed in Google Sheets. If not, add it from the Google Workspace Marketplace.

Step 1: Launch Coefficient and select AWS billing

Open Coefficient in Google Sheets. Create a new Google Sheet or open an existing one, then click Extensions → Coefficient → Open in the menu bar.

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Select AWS billing as your data source. In the Coefficient sidebar, click “Import from” and search for “AWS billing” in the data source selection screen.

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Step 2: Connect to your AWS account

  • Authenticate with your AWS credentials. Enter your AWS access key and secret key when prompted. If you need help finding these, Coefficient provides a step-by-step guide.
  • Name your connection for future use. Give your AWS connection a descriptive name to easily identify it later.
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Step 3: Configure your data import

  • Choose your billing metrics. By default, “Unblended Cost” is selected, but you can add other metrics like amortized cost or usage quantity based on your analysis needs.
  • Select your time granularity. Choose between monthly, daily, or hourly views depending on how detailed you want your analysis to be.
  • Configure grouping dimensions. Data is grouped by service by default, but you can add dimensions like availability zone, instance type, or billing entity to slice your data further.
  • Import your data. Click the “Import” button to pull your configured AWS billing data into your Google Sheet.
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Step 4: Set up automatic data refreshes

  • Configure auto-refresh settings. In the Coefficient sidebar, click on the imported data and select “Schedule Refresh” to keep your AWS billing data current.
  • Set your preferred refresh schedule. Choose how frequently you want your data to update—hourly, daily, or weekly—based on your reporting needs.
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Master your cloud spending

With AWS billing data flowing directly into Google Sheets, you gain unprecedented visibility into your cloud costs. Coefficient makes this connection seamless, eliminating manual exports and ensuring you always have the latest spending information at your fingertips.

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425,000 Pros Sync Live Data from Their Business Systems into Spreadsheet

Stop exporting data manually. Sync data from your business systems into Google Sheets or Excel with Coefficient and set it on a refresh schedule.

The live connection means your reports and dashboards are always current. Set up auto-refreshes, and your data will update automatically on your schedule. Share insights with confidence, knowing everyone is looking at accurate, up-to-date numbers.

Ready to transform how you manage and analyze your AWS costs? Get started with Coefficient today and take control of your cloud spending in Google Sheets.

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Julian Alvarado Content Marketing
Julian is a dynamic B2B marketer with 8+ years of experience creating full-funnel marketing journeys, leveraging an analytical background in biological sciences to examine customer needs.
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