Pricing
All integrationsData Warehouse
Live~10 minutes

Databricks → Google Sheets

Query Delta tables, import Lakehouse results, and write data back, all from Google Sheets.

Personal Access Token (PAT) · Read-only by default · No data stored

~10 minutesSetup time
Personal Access TokenAuthentication
15 minutesMin sync interval
Read + writeDirection

Capabilities

Everything in the Databricks connector

8 built-in capabilities, from live queries to scheduled syncs and AI-powered data analysis.

Query Databricks SQL warehouses from the sidebar
Import Delta table results into any sheet range
Secure personal access token authentication
Supports Unity Catalog and Hive metastore
Scheduled data syncs for live dashboards

Technical details

Built for IT teams to approve in one read

Every connection is read-only by default. Credentials are encrypted at rest. Brooked is a verified Google Workspace app.

Authentication
Personal Access Token (PAT)
Required permissions
CAN USE SQL warehouse · SELECT on catalog
Supported objects
TABLE · VIEW · MATERIALIZED VIEW (Delta)
Metastore
Unity Catalog · Hive metastore
Min sync interval
15 minutes
Supported clouds
AWS · Azure · GCP
Row limit
10M rows per import (Pro tier)
Data residency
Read-only by default, data never stored by Brooked

Setup guide

Connect in 3 steps

From install to your first live query in under 5 minutes. No engineering help required.

1

Install the extension

Add Brooked from the Google Workspace Marketplace.

2

Connect Databricks

Enter your Databricks workspace URL and a personal access token with SQL warehouse access.

3

Run a query

Write SQL in the sidebar, select your SQL warehouse, and import results into your sheet.

Need help? Visit support →

Full step-by-step guide

How to Connect Databricks to Google Sheets

The official Databricks Connector setup walked from end to end, SQL warehouse selection, Unity Catalog permissions for scheduled refresh, the IP access list gotcha, and the limits table (15-min timeout, 10M cells, 20 schedules), plus Python and no-code alternatives.

Read the full guide

Use cases

How teams use Databricks + Brooked

From finance reporting to real-time operations dashboards, see what your team can build.

ML model monitoring

Pull model performance metrics from Databricks into a Sheet for daily stakeholder review without building a separate dashboard.

Live in Google Sheets
Databricks → Sheets · auto-refresh

Available functions

Query Databricks from a cell

Five built-in sheet functions, from natural-language queries to raw SQL and AI-powered KPI cells. No coding required.

fx

=BRKD_QUERY("Databricks", "total revenue by region this month")

Ask a natural-language question against any connected data source. Returns a table of results that spills into adjacent cells.

=BRKD_QUERY("Databricks", "total revenue by region this month")

Also supported

More Data Warehouse integrations

Connect Snowflake to Google Sheets, two-way sync, SQL queries, auto-refresh

Connect Amazon Redshift to Google Sheets, two-way sync, SQL queries, auto-refresh

Get your spreadsheet hours back

Brooked sets up in seconds. Your team is querying live data before lunch.

Get started free