Feature
Data Mart Management
Structure your data once, (re)-use it everywhere
Build reusable data marts that standardize your logic (or / and your SQL) and power dashboards in Sheets, Looker Studio, Excel, or enable automated AI Insights delivered to MS Teams, Slack, Google Chat or simply by Email.

The analytics system teams trust
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
One System, Two Superpowers
Build once, reuse everywhere
Data Mart Management gives analysts full control over the logic while giving business users instant, governed access to clean datasets across every reporting tool.
THE ANALYST
Own the logic, skip the tickets
Write SQL, re-use existing tables – keep the last mile of self-service analytics all in one place. Every data mart you build becomes a reusable asset the whole company can query safely.

Your SQL, your rules — packaged for the entire organization.
THE BUSINESS USER
Clean data, zero setup
Browse a catalog of ready-to-use datasets. Pull them into Google Sheets, Looker Studio, or ask questions directly in Claude or ChatGPT via OWOX MCP — no need to understand joins, filters, or warehouse schemas.

Think of data marts as 'playlists' — curated by analysts, enjoyed by everyone.
The single source of truth your team has been asking for — When analysts build once and business users consume everywhere, you eliminate 80% of redundant data requests.
For Data Teams3 use cases
For Data Teams
Build reusable analytics assets
Write SQL, define transformations, version your work — every data mart becomes a governed asset the whole company can query.

Build a Data Mart from anything you already have
Start from a SQL query, a warehouse table, a view, a Pattern, or a connector's output. Whatever data is available, OWOX turns it into a governed, reusable asset.

Clean output schemas — aliases, descriptions, metadata
Rename fields, add descriptions, set business-friendly aliases on top of warehouse columns. Consumers see clean, documented data — not your raw column names.

Governance built in — who sees what, who edits what
Control availability per Data Mart: who can use it for reporting, who can edit it, which contexts it belongs to. The data team stays in charge of every governed asset.
For Business Teams3 use cases
For Business Teams
Access clean data instantly
Browse ready-to-use datasets and pull them into Sheets, Looker Studio, or ask in Claude or ChatGPT via OWOX MCP — no SQL required.

Your context, your data — automatically
Marketing sees marketing data, sales sees sales data. Each team's context surfaces the Data Marts that matter to them — no clutter, no hunting through someone else's reports.

Joinable Data Marts, right inside Google Sheets
Pull two Data Marts into a Sheet and join them as if they were one. Blend orders with products or with sessions without writing SQL – the data team already wired the relationships.

Self-serve inside a trusted perimeter
Explore freely – every Data Mart you can access has been governed by your data team. No bad joins, no wrong filters, no stale logic. Trust the numbers, every time.
Editions
Included in all editions at no extra cost
Reporting Analyst
Stop being the reporting bottleneck. Hire an Analyst that handles every "quick" question from stakeholders.
Starts at $65 /mo
Hire Reporting AnalystSenior Analyst
Stop running your business blind. Hire a Senior Analyst that unlocks trusted answers to every "why?"
Starts at $90 /mo
Hire Senior Data AnalystEnterprise
Scale self-service analytics with your governance rules and trusted context.
Let's Talk
Talk to SalesWhy teams pick OWOX
Everything business needs
Governed metric definitions
Centralize metric logic in one place, so everyone works from the same definitions, without rewriting SQL.
Metrics you can trust
Define KPIs once and reuse them everywhere – across Looker, Sheets, Excel, and dashboards – with full control over changes.
Define once, reuse everywhere
Write your KPI logic once, then apply it across reports, dashboards, and clients – no duplication, no rework.
Data you trust
Explore only verified, fresh, and complete data. Say goodbye to guesswork and second-guessing.
FAQ
Frequently asked questions
What is a data mart in OWOX?
A data mart is a reusable analytics artifact — a structured, governed dataset created by analysts using SQL, tables, or views. Business users can then use these data marts for reporting in Google Sheets, Looker Studio, or through AI Insights, without needing to write SQL themselves.
How do data marts differ from raw database tables?
Raw tables contain unprocessed data that requires SQL expertise to query correctly. Data marts apply business logic, joins, filters, and metric definitions — producing clean, ready-to-use datasets. They standardize how your organization interprets data.
Can I version and manage changes to data marts?
Yes. OWOX Data Marts supports versioning so you can track changes, roll back to previous versions, and maintain an audit trail of who changed what and when.
What outputs can data marts power?
Data marts can power Google Sheets reports, Looker Studio dashboards, scheduled AI Insights delivered to Slack, Teams, Google Chat, or email, and ad-hoc questions in Claude or ChatGPT via OWOX MCP.
Is this included in the free tier?
Yes. Data mart creation and management is available in all editions, including the free Starter plan and the Community self-managed edition.
Do I need SQL skills to create data marts?
Creating data marts typically requires SQL knowledge — that's by design. The analyst defines the logic once, and business users consume the results through Sheets, dashboards, or AI without needing SQL.
What users are saying
Every claim has a receipt.
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.”

