Collect your business data into BigQuery. Build reusable data marts. Enable reporting in Google Sheets, Looker Studio, and any BI tool — and get AI Insights delivered on a schedule.
Set up automated data importing from your software tools into Google BigQuery
Good analytics starts with data ownership. You don't own your business data until it lives in your own data warehouse — not inside ad platforms or CRMs.



Teams that have data scattered across marketing, product, sales, and finance tools — and want one warehouse powering all reports, dashboards, and insights.

BigQuery is the most popular data warehouse for marketing and product analytics. But raw tables don't help business teams — they need reports, dashboards, and insights. OWOX bridges that gap: define a data mart in SQL, and OWOX handles delivery, scheduling, and AI-powered summaries.

Connect as many sources as you need, all included

Fully available on GitHub — self-host anytime, your data stays yours

Every query, every schema, every schedule is visible and auditable


All your business data in BigQuery — one place for ownership, governance, and consistency.
Full granularity from every platform, stored directly — no sampling, no aggregation loss.
Refresh on your schedule: hourly, daily, or every 15 minutes.
Model data once at the data warehouse level. No duplicated pipelines or broken dashboards.
Same data marts work in Sheets, Looker Studio, Power BI — no logic rebuilds.
Trusted, centralized data means fewer debates and faster action across teams.
From people who actually use the product. Each quote is attached to a specific claim.
Data warehouse
Finally, a tool that doesn't ask business users to learn a new dashboarding UI. Our marketing team already knows Sheets. OWOX just delivers the right data.
Joinable data marts concept was the thing that sold us. We can now use the semantic layer without building one.
Self-hosted the OSS version on Digital Ocean. Zero vendor lock-in. Contributed a Shopify connector back in week two.