Google Analytics → Databricks SQL Warehouse
AI-first ETL from Google Analytics into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Analytics into Databricks SQL Warehouse
Datrise syncs Google Analytics's sessions, events, channels, conversions, and behavior cohorts 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 Analytics: Web and product analytics for behavior and traffic insights.
Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.
How Google Analytics entities map to Databricks SQL Warehouse
| Google Analytics entity | Databricks SQL Warehouse object | Notes |
|---|---|---|
| sessions | google_analytics_sessions | id PK · custom fields → VARIANT or STRUCT columns |
| events | google_analytics_events | TIMESTAMP events |
| channels | google_analytics_channels | id PK · linked to google_analytics_sessions |
| conversions | google_analytics_conversions | id PK · linked to google_analytics_sessions |
FAQ
How does Datrise handle Google Analytics'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 Analytics 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 Analytics
- Google Analytics → ClickHouse
- Google Analytics → DuckDB
- Google Analytics → Amazon Athena
- Google Analytics → Amazon S3 Data Lake
- Google Analytics → Azure Data Lake Storage
- Google Analytics → Azure Synapse
- Google Analytics → Spreadsheets
- Google Analytics → Airtable
- Google Analytics → CSV Files
- Google Analytics → MongoDB
- Google Analytics → Supabase
- Google Analytics → Neon
More sources for 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
- Auth0 → Databricks SQL Warehouse
- Attio → Databricks SQL Warehouse
- Bigin by Zoho → Databricks SQL Warehouse
- BambooHR → Databricks SQL Warehouse
- Workday → Databricks SQL Warehouse
- Pipeliner CRM → Databricks SQL Warehouse
Early access
Connect Google Analytics 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.