Google Cloud SQL Postgresql → Looker
AI-first ETL from Google Cloud SQL Postgresql into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Cloud SQL Postgresql into Looker
Datrise syncs Google Cloud SQL Postgresql's records, events, and configuration objects into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.
Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.
Ideal for governed, version-controlled BI on a warehouse.
Endpoints
Google Cloud SQL Postgresql: SaaS or API data source for analytics and warehouse sync.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How Google Cloud SQL Postgresql entities map to Looker
| Google Cloud SQL Postgresql entity | Looker object | Notes |
|---|---|---|
| records | google_cloud_sql_postgresql_records | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| events | google_cloud_sql_postgresql_events | date/time dimension columns events |
| configuration objects | google_cloud_sql_postgresql_configuration_objects | id PK · linked to google_cloud_sql_postgresql_records |
FAQ
How does Datrise handle Google Cloud SQL Postgresql's custom fields in Looker?
Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.
How does the Google Cloud SQL Postgresql to Looker sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.
Related pipelines
More destinations for Google Cloud SQL Postgresql
- Google Cloud SQL Postgresql → Looker Studio
- Google Cloud SQL Postgresql → Microsoft Power BI
- Google Cloud SQL Postgresql → Tableau
- Google Cloud SQL Postgresql → Apache Superset
- Google Cloud SQL Postgresql → Metabase
- Google Cloud SQL Postgresql → Amazon QuickSight
- Google Cloud SQL Postgresql → Domo
- Google Cloud SQL Postgresql → Sisense
- Google Cloud SQL Postgresql → ThoughtSpot
- Google Cloud SQL Postgresql → Qlik
- Google Cloud SQL Postgresql → Mode
- Google Cloud SQL Postgresql → Redash
Early access
Connect Google Cloud SQL Postgresql to Looker 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.