Google Cloud SQL to Looker Studio Integration
AI-first ETL from Google Cloud SQL into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Cloud SQL into Looker Studio
Datrise syncs Google Cloud SQL's tables, rows, schemas, indexes, read replicas, and binlog changes into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.
Ideal for free, shareable dashboards on Google data sources.
Endpoints
Google Cloud SQL: Managed MySQL, PostgreSQL, and SQL Server instances on GCP.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How Google Cloud SQL entities map to Looker Studio
| Google Cloud SQL entity | Looker Studio object | Notes |
|---|---|---|
| tables | google_cloud_sql_tables | id PK · custom fields → flattened columns for chart fields |
| rows | google_cloud_sql_rows | id PK · linked to google_cloud_sql_tables |
| schemas | google_cloud_sql_schemas | id PK · linked to google_cloud_sql_tables |
| indexes | google_cloud_sql_indexes | id PK · linked to google_cloud_sql_tables |
FAQ
How does Datrise handle Google Cloud SQL's custom fields in Looker Studio?
Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.
How does the Google Cloud SQL to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Google Cloud SQL
- Google Cloud SQL → Microsoft Power BI
- Google Cloud SQL → Tableau
- Google Cloud SQL → Apache Superset
- Google Cloud SQL → Metabase
- Google Cloud SQL → Amazon QuickSight
- Google Cloud SQL → Domo
- Google Cloud SQL → Sisense
- Google Cloud SQL → ThoughtSpot
- Google Cloud SQL → Qlik
- Google Cloud SQL → Mode
- Google Cloud SQL → Redash
- Google Cloud SQL → Chartio
More sources for Looker Studio
- Google Cloud Storage → Looker Studio
- Google Directory → Looker Studio
- Google Ecommerce → Looker Studio
- Google PageSpeed Insights → Looker Studio
- Greenhouse → Looker Studio
- Gridly → Looker Studio
- Harness → Looker Studio
- Harvest Forecast → Looker Studio
- Heap → Looker Studio
- Hellobaton → Looker Studio
- Heroku → Looker Studio
- PostgreSQL → Looker Studio
Early access
Connect Google Cloud SQL to Looker Studio 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.