Google Cloud SQL to Apache Superset Integration
AI-first ETL from Google Cloud SQL into Apache Superset. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Cloud SQL into Apache Superset
Datrise syncs Google Cloud SQL's tables, rows, schemas, indexes, read replicas, and binlog changes 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 Cloud SQL: Managed MySQL, PostgreSQL, and SQL Server instances on GCP.
Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.
How Google Cloud SQL entities map to Apache Superset
| Google Cloud SQL entity | Apache Superset object | Notes |
|---|---|---|
| tables | google_cloud_sql_tables | id PK · custom fields → flattened columns for the explore UI |
| 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 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 Cloud SQL 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 Cloud SQL
- 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
- Google Cloud SQL → Holistics
- Google Cloud SQL → Birst
- Google Cloud SQL → GoodData
More sources for Apache Superset
- Google Cloud Storage → Apache Superset
- Google Directory → Apache Superset
- Google Ecommerce → 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
Early access
Connect Google Cloud SQL 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.