Google Sheets to Databricks integration
Connect Google Sheets to Databricks and automatically sync your spreadsheet/file data. Weld extracts Worksheets, Rows, and Named Ranges from Google Sheets, loads them into Databricks, and lets you transform the data using SQL or dbt, no custom scripts required.
Your own tables, picked when you set up the sync.
- Extract
- Load
- Keep in sync
- google_sheets.Synced
- google_sheets.Syncing
- google_sheets.Synced
- google_sheets.Synced
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How to set up Google Sheets to Databricks in Weld.
In the app, with the API or an agent.
Why sync Google Sheets to Databricks?
Ready for analysis.
Centralizing your Google Sheets data in Databricks lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying Google Sheets data directly in Databricks using SQL or your preferred BI tool.
Centralized data warehouse
Bring Google Sheets data into Databricks alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from Google Sheets to Databricks. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
From Google Sheets to Databricks.
Weld syncs the following data objects from Google Sheets into Databricks. The exact tables and fields depend on your Google Sheets configuration and the permissions granted during setup.
- Worksheets
- Rows
- Named Ranges
Ask your agent.
It queries Databricks for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Google Sheets context, finds the tables it needs and runs the query in Databricks.
Which Google Sheets tables do we have in Databricks, and which is the largest?
Looking up what Weld has synced from Google Sheets.
Technical considerations.
What to expect.
ELT vs. reverse ETL: Google Sheets and Databricks
ELT (Extract, Load, Transform) moves data from Google Sheets into Databricks for analysis. This is the approach shown on this page, and the one to use for dashboards, reports, and data models.
Reverse ETL works the other direction: it pushes enriched data from Databricks back into Google Sheets. For example, you could sync computed lead scores or customer segments from your warehouse into Google Sheets to personalize outreach.
Weld supports both directions, so you can build a complete data loop between Google Sheets and Databricks.
Databricks to Google Sheets- Incremental syncing
- Weld uses incremental syncing where supported by the Google Sheets API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Google Sheets adds new fields, they're detected and added to the corresponding Databricks tables.
- Data freshness
- Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
- Security
- All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Keep reading.
Guides, docs and schema.
Google Sheets setup guide
How to connect Google Sheets to Weld, step by step.
DocumentationDatabricks setup guide
How to connect Databricks to Weld, step by step.
ConnectorGoogle Sheets connector
Everything Weld does with Google Sheets.
ConnectorDatabricks connector
Everything Weld does with Databricks.
Common questions.
About Google Sheets to Databricks.
Start syncing Google Sheets to Databricks.
Set up your Google Sheets data pipeline in minutes. No credit card required. Free for 14 days.