Connector
Turn Amazon Redshift into a Live Reporting System for Google Sheets
OWOX Data Marts lets you manage, schedule, and reuse reporting-ready data marts built on Amazon Redshift — 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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296 verified reviews on G2
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open-source connector installs via npm
GitHub stars
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the platform is open source — star it, fork it, self-host it
S01 · Step 1
Step 1: Connect Your Amazon Redshift Data Storage
Start by using Amazon Redshift as the foundation for business reporting.
- All reporting data lives inside your Redshift cluster
- No direct source-to-spreadsheet connectors that fragment logic
- Business logic stays centralized, queryable, and reusable
S02 · Step 2
Step 2: Create a Data Mart in Amazon Redshift
Create reporting-ready data marts directly on top of Amazon Redshift.
- Define data marts using SQL queries
- Reuse existing Redshift tables or views
- Blend multiple datasets stored in Redshift
S03 · Step 3
Step 3: Prepare Data for Google Sheets
Make your Redshift 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 Redshift Data to Google Sheets
Deliver Gold-layer, business-ready data directly into Google Sheets.
- Keep Sheets connected to Redshift data marts
- Schedule automatic refreshes
- Share spreadsheets with stakeholders without breaking logic
S05 · Step 5
Step 5: Reuse Redshift Data Beyond Sheets
Your Redshift data marts are not limited to spreadsheets.
- Enable AI Insights generated from Redshift 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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What users are saying
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Nodari RizunFounder & CEO, Pürblack®“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.”
Mark SimmonsCMO, Pürblack®“We had six or seven different channels and no single source of truth — it was almost impossible, a lot of guesswork.”
Nodari RizunFounder & CEO, Pürblack®“We regained time. And time is the one resource that never comes back.”