Google Sheets → Databricks SQL Warehouse
AI-first ETL from Google Sheets into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Sheets into Databricks SQL Warehouse
Datrise syncs Google Sheets's spreadsheet-based CRM rows, updates, and operational workflow tables into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.
Ideal for lakehouse analytics and ML feature tables on Databricks.
Endpoints
Google Sheets: Spreadsheet CRM workflows and lightweight pipelines.
Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.
How Google Sheets entities map to Databricks SQL Warehouse
| Google Sheets entity | Databricks SQL Warehouse object | Notes |
|---|---|---|
| spreadsheet-based CRM rows | google_sheets_spreadsheet_based_crm_rows | id PK · custom fields → VARIANT or STRUCT columns |
| updates | google_sheets_updates | id PK · linked to google_sheets_spreadsheet_based_crm_rows |
| operational workflow tables | google_sheets_operational_workflow_tables | id PK · linked to google_sheets_spreadsheet_based_crm_rows |
FAQ
How does Datrise handle Google Sheets's custom fields in Databricks SQL Warehouse?
Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.
How does the Google Sheets to Databricks SQL Warehouse sync stay up to date?
It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.
Related pipelines
More destinations for Google Sheets
- Google Sheets → ClickHouse
- Google Sheets → DuckDB
- Google Sheets → Amazon Athena
- Google Sheets → Amazon S3 Data Lake
- Google Sheets → Azure Data Lake Storage
- Google Sheets → Azure Synapse
- Google Sheets → Spreadsheets
- Google Sheets → Airtable
- Google Sheets → CSV Files
- Google Sheets → MongoDB
- Google Sheets → Supabase
- Google Sheets → Neon
More sources for Databricks SQL Warehouse
- Close → Databricks SQL Warehouse
- Nimble → Databricks SQL Warehouse
- ActiveCampaign → Databricks SQL Warehouse
- ClickUp → Databricks SQL Warehouse
- Google Ads → Databricks SQL Warehouse
- Google Analytics → Databricks SQL Warehouse
- Twitter/X Ads → Databricks SQL Warehouse
- LinkedIn Ads → Databricks SQL Warehouse
- Meta Ads → Databricks SQL Warehouse
- SAP → Databricks SQL Warehouse
- Amplitude → Databricks SQL Warehouse
- MoEngage → Databricks SQL Warehouse
Early access
Connect Google Sheets to Databricks SQL Warehouse the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.