Data storage
BigQuery + OWOX Data Marts. Spreadsheet reporting and AI Insights on autopilot.
Build data marts on BigQuery. Automate reporting to Google Sheets and BI tools. Get AI Insights delivered to Slack, email, or Teams.

The analytics system teams actually use
Marketplace users
175K+
teams running OWOX from the Google Workspace Marketplace
G2 rating
4.9
296 verified reviews on G2
Connector downloads
156K+
open-source connector installs via npm
GitHub stars
231
the platform is open source — star it, fork it, self-host it
Available connectors12
Available connectors
How it works

R01 · Data storage
What is Google BigQuery data storage?
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.
- Collect raw data from ad platforms, CRMs, and tools directly into BigQuery
- Model it into trusted data marts using SQL, tables, or views
- Reuse the same marts across Sheets, Looker Studio, and AI Insights

R02 · Who it is for
Who is BigQuery with OWOX for?
Teams that have data scattered across marketing, product, sales, and finance tools — and want one warehouse powering all reports, dashboards, and insights.
- Data and BI teams centralizing metrics across the company
- Marketing teams tired of manual exports and broken dashboards
- Companies building self-service analytics with AI Insights
R03 · Why teams pick OWOX
Why use OWOX Data Marts with BigQuery?
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.

R04 · How it works
How to use BigQuery with OWOX Data Marts
- Store all business data in a single cloud data warehouse (BigQuery)
- Automatically collect raw data from ad platforms and other sources
- Create reusable Data Marts using SQL, tables, views, or patterns
- Define metrics once and reuse them everywhere
- Power BI tools, spreadsheets, and reports from the same data marts
- Schedule AI Insights, reports, or analyses to Slack, email, or other channels – powered by your BigQuery data.
S02 · Why teams pick OWOX
Why OWOX as a companion to BigQuery
One data warehouse, full picture
All your business data in BigQuery — one place for ownership, governance, and consistency.
Raw detail, no sampling
Full granularity from every platform, stored directly — no sampling, no aggregation loss.
Always fresh
Refresh on your schedule: hourly, daily, or every 15 minutes.
Less rework, more output
Model data once at the data warehouse level. No duplicated pipelines or broken dashboards.
Reusable across tools
Same data marts work in Sheets, Looker Studio, Power BI — no logic rebuilds.
Confident decisions
Trusted, centralized data means fewer debates and faster action across teams.
What users are saying
Not testimonials. Comment threads.
Real things real customers said — each quote pinned to a specific claim, straight from the quotes database.
“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.”
“We had six or seven different channels and no single source of truth — it was almost impossible, a lot of guesswork.”
“We regained time. And time is the one resource that never comes back.”

