Google Ecommerce to Databricks SQL Warehouse Integration
AI-first ETL from Google Ecommerce into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Ecommerce into Databricks SQL Warehouse
Datrise syncs Google Ecommerce's transactions, products, product impressions, checkout steps, revenue, and refunds 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 Ecommerce: Ecommerce reporting from Google Analytics.
Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.
How Google Ecommerce entities map to Databricks SQL Warehouse
| Google Ecommerce entity | Databricks SQL Warehouse object | Notes |
|---|---|---|
| transactions | google_ecommerce_transactions | id PK · custom fields → VARIANT or STRUCT columns |
| products | google_ecommerce_products | id PK · linked to google_ecommerce_transactions |
| product impressions | google_ecommerce_product_impressions | id PK · linked to google_ecommerce_transactions |
| checkout steps | google_ecommerce_checkout_steps | id PK · linked to google_ecommerce_transactions |
FAQ
How does Datrise handle Google Ecommerce'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 Ecommerce 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 Ecommerce
- Google Ecommerce → ClickHouse
- Google Ecommerce → DuckDB
- Google Ecommerce → Amazon Athena
- Google Ecommerce → Amazon S3 Data Lake
- Google Ecommerce → Azure Data Lake Storage
- Google Ecommerce → Azure Synapse
- Google Ecommerce → Spreadsheets
- Google Ecommerce → Airtable
- Google Ecommerce → CSV Files
- Google Ecommerce → MongoDB
- Google Ecommerce → Supabase
- Google Ecommerce → Neon
More sources for Databricks SQL Warehouse
- Google PageSpeed Insights → Databricks SQL Warehouse
- Greenhouse → Databricks SQL Warehouse
- Gridly → Databricks SQL Warehouse
- Harness → Databricks SQL Warehouse
- Harvest Forecast → Databricks SQL Warehouse
- Heap → Databricks SQL Warehouse
- Hellobaton → Databricks SQL Warehouse
- Heroku → Databricks SQL Warehouse
- PostgreSQL → Databricks SQL Warehouse
- Hubplanner → Databricks SQL Warehouse
- Impact → Databricks SQL Warehouse
- Import API → Databricks SQL Warehouse
Early access
Connect Google Ecommerce 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.