Connector
Turn Databricks into a Live Reporting System for Google Sheets
OWOX Data Marts lets you manage, schedule, and reuse reporting-ready data marts built on Databricks — 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
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
S01 · Step 1
Step 1: Connect Your Databricks Data Storage
Start by using Databricks as the foundation for business reporting.
- All reporting data lives in your Databricks lakehouse
- 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 Databricks
Create reporting-ready data marts directly on top of Databricks.
- Define data marts using SQL queries
- Reuse existing tables or views stored in the lakehouse
- Blend batch and streaming datasets in one reporting layer
S03 · Step 3
Step 3: Prepare Data for Google Sheets
Make your Databricks 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 Databricks Data to Google Sheets
Deliver Gold-layer, business-ready data directly into Google Sheets.
- Keep Sheets connected to Databricks data marts
- Schedule automatic refreshes
- Share spreadsheets with stakeholders without breaking logic
S05 · Step 5
Step 5: Reuse Databricks Data Beyond Sheets
Your Databricks data marts are not limited to spreadsheets.
- Enable AI Insights generated from Databricks 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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Real things real customers said — each quote pinned to a specific claim, straight from the quotes database.
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.”