Google Cloud SQL → PlanetScale
AI-first ETL from Google Cloud SQL into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Cloud SQL into PlanetScale
Datrise syncs Google Cloud SQL's records, events, and configuration objects into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.
Ideal for horizontally scalable MySQL apps on Vitess.
Endpoints
Google Cloud SQL: SaaS or API data source for analytics and warehouse sync.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Google Cloud SQL entities map to PlanetScale
| Google Cloud SQL entity | PlanetScale object | Notes |
|---|---|---|
| records | google_cloud_sql_records | id PK · custom fields → JSON columns |
| events | google_cloud_sql_events | DATETIME events |
| configuration objects | google_cloud_sql_configuration_objects | id PK · linked to google_cloud_sql_records |
FAQ
How does Datrise handle Google Cloud SQL's custom fields in PlanetScale?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PlanetScale types.
How does the Google Cloud SQL to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for Google Cloud SQL
- Google Cloud SQL → Amazon DynamoDB
- Google Cloud SQL → Looker
- Google Cloud SQL → Looker Studio
- 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
More sources for PlanetScale
- Google Cloud SQL Postgresql → PlanetScale
- Google Cloud Storage F → PlanetScale
- Google Directory → PlanetScale
- Google Ecommerce → PlanetScale
- Google Pagespeed Insights → PlanetScale
- Google Webfonts → PlanetScale
- Greenhouse → PlanetScale
- Gridly → PlanetScale
- Gutendex → PlanetScale
- Harness → PlanetScale
- Harvest Forecast → PlanetScale
- Heap → PlanetScale
Early access
Connect Google Cloud SQL to PlanetScale 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.