Google Cloud SQL Postgresql → PlanetScale
AI-first ETL from Google Cloud SQL Postgresql into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Cloud SQL Postgresql into PlanetScale
Datrise syncs Google Cloud SQL Postgresql'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 Postgresql: SaaS or API data source for analytics and warehouse sync.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Google Cloud SQL Postgresql entities map to PlanetScale
| Google Cloud SQL Postgresql entity | PlanetScale object | Notes |
|---|---|---|
| records | google_cloud_sql_postgresql_records | id PK · custom fields → JSON columns |
| events | google_cloud_sql_postgresql_events | DATETIME 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 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 Postgresql 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 Postgresql
- Google Cloud SQL Postgresql → Amazon DynamoDB
- Google Cloud SQL Postgresql → Looker
- 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
More sources for 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
- Hellobaton → PlanetScale
Early access
Connect Google Cloud SQL Postgresql 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.