Trusted, proven, recognized

The analytics system teams actually use

170K+
Users trust OWOX[1]
Analysts, marketers, and data teams across 20+ industries
4.9★
Rating on G2[2]
“A trusted data analytics partner” — verified review
365K+
Data marts delivered
Created and served by OWOX to business users
92K+
npm installs[3]
Self-hosted OWOX Community Edition on GitHub
[1] Google Workspace Marketplace[2] G2.com reviews[3] OWOX GitHub
Connect

Step 1: Connect Your Google BigQuery Data Storage

Start by using Google BigQuery as the single foundation for business reporting.

✓
All reporting data lives inside your BigQuery project
✓
No direct source-to-spreadsheet connectors that fragment logic
✓
Business logic stays centralized, queryable, and reusable
Connect BigQuery
Step 1: Connect Your Google BigQuery Data Storage
Step 1: Connect Your Google BigQuery Data Storage
Step 2: Create a Data Mart in Google BigQuery
Create

Step 2: Create a Data Mart in Google BigQuery

Create reporting-ready data marts directly on top of Google BigQuery.

✓
Define data marts using SQL queries
✓
Reuse existing BigQuery tables or views
✓
Include connector-based datasets already stored in BigQuery
Create Data Mart
Step 2: Create a Data Mart in Google BigQuery
Select

Step 3: Prepare Business-Friendly Data for Google Sheets

Make your BigQuery data marts easy for business users to work with.

✓
Rename fields using business-friendly aliases
✓
Add clear descriptions to explain metrics and dimensions
✓
Business logic stays centralized, queryable, and reusable
Tweak Output Schema
Step 3: Prepare Business-Friendly Data for Google Sheets
Step 3: Prepare Business-Friendly Data for Google Sheets
Step 4: Send & Schedule BigQuery Data to Google Sheets
Enable

Step 4: Send & Schedule BigQuery Data to Google Sheets

Deliver Gold-layer, business-ready data from BigQuery directly into Google Sheets.

✓
Keep Sheets connected to governed BigQuery data marts
✓
Schedule automatic refreshes with full orchestration
✓
Share spreadsheets with stakeholders without duplicating logic
Send to Google Sheets
Step 4: Send & Schedule BigQuery Data to Google Sheets
Extend

Step 5: Reuse BigQuery Data Beyond Sheets

Your BigQuery data marts are not limited to spreadsheets.

✓
Enable AI Insights generated from BigQuery 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
Reuse Data Marts
Step 5: Reuse BigQuery Data Beyond Sheets
Step 5: Reuse BigQuery Data Beyond Sheets
Social proof

Every claim has a receipt.

Stats with comment threads attached — like a colleague verifying your numbers in a shared sheet.

170,000
Users on OWOX Platform — and growing 40% year-over-year.
B2
cell "users on platform"
SM
Sarah M.
Head of Analytics, Retail
3d ago

We migrated 200+ reports from Looker to OWOX Data Marts. Our team now self-serves without filing a single Jira ticket. Easily the best infrastructure decision we made this year.

✓ Verified
12 min
Median time-to-first-report for new OWOX users. No onboarding calls required.
C4
cell "time to first report"
DL
David L.
Data Lead, SaaS
1M ago

Connected BigQuery, set up 37 data marts, built a data model and had live reports in Sheets in under 15 minutes. My team thought I was joking when I showed them how they can now get live reports right in their sheets.

✓ Verified
Self-service analytics

Build a Reporting System on Top of Google BigQuery

Google Sheets were never designed to be a system of record. With OWOX Data Marts, Sheets becomes a trusted analysis layer — powered by governed data marts defined upstream in your warehouse.

✓
Business teams keep the flexibility they love
✓
Data teams retain control over logic and definitions
✓
No more fragile joins duplicated across spreadsheets
See how it works
→