PostgreSQL to PlanetScale Integration
AI-first ETL from PostgreSQL into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads PostgreSQL into PlanetScale
Datrise syncs PostgreSQL's tables, rows, schemas, indexes, sequences, and replication slots 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
PostgreSQL: Self-managed PostgreSQL instances.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How PostgreSQL entities map to PlanetScale
| PostgreSQL entity | PlanetScale object | Notes |
|---|---|---|
| tables | hp_postgres_tables | id PK · custom fields → JSON columns |
| rows | hp_postgres_rows | id PK · linked to hp_postgres_tables |
| schemas | hp_postgres_schemas | id PK · linked to hp_postgres_tables |
| indexes | hp_postgres_indexes | id PK · linked to hp_postgres_tables |
FAQ
How does Datrise handle 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 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 PostgreSQL
More sources for PlanetScale
Early access
Connect 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.