Connector
Turn AWS Athena into a Live Reporting System for Google Sheets
OWOX Data Marts lets you manage, schedule, and reuse reporting-ready data marts built on AWS Athena — and deliver them as live, governed reports in Google Sheets. This is not an export. It’s a reporting system.

The analytics system teams actually use
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teams running OWOX from the Google Workspace Marketplace
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open-source connector installs via npm
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S01 · Step 1
Step 1: Connect Your AWS Athena Data Storage
Start by using AWS Athena as the foundation for business reporting.
- All reporting data lives in Amazon S3 and is queried via Athena
- No direct source-to-spreadsheet connectors that fragment logic
- Business logic stays centralized and reusable on top of your data lake

S02 · Step 2
Step 2: Create a Data Mart in AWS Athena
Create reporting-ready data marts directly on top of AWS Athena.
- Define data marts using SQL queries
- Reuse existing tables or views backed by S3 data
- Blend multiple datasets stored in your data lake

S03 · Step 3
Step 3: Prepare Data for Google Sheets
Make your Athena data marts easy for business users to work with.
- Rename fields using business-friendly aliases
- Add clear descriptions to explain metrics and dimensions
- Control which fields are exposed to stakeholders

S04 · Step 4
Step 4: Send & Schedule Athena Data to Google Sheets
Deliver Gold-layer, business-ready data directly into Google Sheets.
- Keep Sheets connected to Athena data marts
- Schedule automatic refreshes
- Share spreadsheets with stakeholders without breaking logic

S05 · Step 5
Step 5: Reuse Athena Data Beyond Sheets
Your Athena data marts are not limited to spreadsheets.
- Enable AI Insights generated from Athena data marts
- Deliver insights to Email first (and add Slack, Microsoft Teams, or Google Chat if your team uses them)
- Reuse the same data marts in Looker Studio dashboards

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“AI, by the nature of the models, will hallucinate. And because of that, you need something which will create guardrails to ensure that there are no hallucinations, that you can trust your data.”
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