Google Ecommerce to Apache Superset Integration
AI-first ETL from Google Ecommerce into Apache Superset. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Ecommerce into Apache Superset
Datrise syncs Google Ecommerce's transactions, products, product impressions, checkout steps, revenue, and refunds into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.
Ideal for open-source dashboards over your own database.
Endpoints
Google Ecommerce: Ecommerce reporting from Google Analytics.
Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.
How Google Ecommerce entities map to Apache Superset
| Google Ecommerce entity | Apache Superset object | Notes |
|---|---|---|
| transactions | google_ecommerce_transactions | id PK · custom fields → flattened columns for the explore UI |
| 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 Apache Superset?
Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.
How does the Google Ecommerce to Apache Superset sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Google Ecommerce
- Google Ecommerce → Metabase
- Google Ecommerce → Amazon QuickSight
- Google Ecommerce → Domo
- Google Ecommerce → Sisense
- Google Ecommerce → ThoughtSpot
- Google Ecommerce → Qlik
- Google Ecommerce → Mode
- Google Ecommerce → Redash
- Google Ecommerce → Chartio
- Google Ecommerce → Holistics
- Google Ecommerce → Birst
- Google Ecommerce → GoodData
More sources for Apache Superset
- Google PageSpeed Insights → Apache Superset
- Greenhouse → Apache Superset
- Gridly → Apache Superset
- Harness → Apache Superset
- Harvest Forecast → Apache Superset
- Heap → Apache Superset
- Hellobaton → Apache Superset
- Heroku → Apache Superset
- PostgreSQL → Apache Superset
- Hubplanner → Apache Superset
- Impact → Apache Superset
- Import API → Apache Superset
Early access
Connect Google Ecommerce to Apache Superset 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.