---
title: "Introducing the Databricks Connector for Google Sheets: Real-Time, Governed Lakehouse Data in the Sheets Users Love"
description: "Databricks has introduced a Google Sheets connector that brings live, governed lakehouse data into a familiar spreadsheet environment. The connector addresses reliance on CSV exports, snapshots, and custom pipelines, which left business teams with siloed copies, inconsistent metrics, and slower decisions. Built on Databricks SQL and Unity Catalog, it lets users query governed datasets, including Unity Catalog Metric Views, through a no-code GUI or SQL, while Unity Catalog manages permissions. Users can refresh results manually or schedule refreshes, keeping Sheets data current without exporting snapshots. The connector is Generally Available to all Databricks customers, and Nubank reports that it has enabled non-technical users to explore data in Sheets while preserving control."
---

# Introducing the Databricks Connector for Google Sheets: Real-Time, Governed Lakehouse Data in the Sheets Users Love

[Databricks](https://yomu.fyi/company/databricks) · Toussaint Webb · Apr 15, 2026

**Type:** Announcement

## Summary

Databricks has introduced a Google Sheets connector that brings live, governed lakehouse data into a familiar spreadsheet environment. The connector addresses reliance on CSV exports, snapshots, and custom pipelines, which left business teams with siloed copies, inconsistent metrics, and slower decisions. Built on Databricks SQL and Unity Catalog, it lets users query governed datasets, including Unity Catalog Metric Views, through a no-code GUI or SQL, while Unity Catalog manages permissions. Users can refresh results manually or schedule refreshes, keeping Sheets data current without exporting snapshots. The connector is Generally Available to all Databricks customers, and Nubank reports that it has enabled non-technical users to explore data in Sheets while preserving control.

## Context

Business users work in Google Sheets, while accurate and governed business data increasingly resides in lakehouses. CSV exports, snapshots, and custom pipelines created stale copies, inconsistent metrics, slower decision-making, and additional requests for data teams.

## Approach / What changed

The Databricks Connector for Google Sheets connects Sheets directly to Databricks SQL and Unity Catalog–governed data. Users can query datasets through a no-code GUI or SQL, rely on Unity Catalog permissions, and refresh results manually or on a schedule.

## Takeaways

- Queries can target governed datasets such as Unity Catalog Metric Views from Google Sheets using either a no-code GUI or SQL.
- Manual and scheduled refreshes let Sheets results reflect updated Databricks data without CSV exports or snapshots.
- The connector is Generally Available to all Databricks customers; Nubank says it supports non-technical data exploration while maintaining control.

**Tags:** [Databricks](https://yomu.fyi/topic/databricks), [Data Governance](https://yomu.fyi/topic/data-governance), [Google Sheets](https://yomu.fyi/topic/google-sheets)

- Source: [Databricks](https://www.databricks.com/blog/introducing-databricks-connector-google-sheets-real-time-governed-lakehouse-data-sheets-users)
- Source URL: https://www.databricks.com/blog/introducing-databricks-connector-google-sheets-real-time-governed-lakehouse-data-sheets-users
- Ingested by Yomu: 2026-08-31T03:43:05.490Z

[Read original post](https://www.databricks.com/blog/introducing-databricks-connector-google-sheets-real-time-governed-lakehouse-data-sheets-users)