Snowflake to PlanetScale Integration
AI-first ETL from Snowflake into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Snowflake into PlanetScale
Datrise syncs Snowflake's databases, schemas, tables, views, query history, and warehouses 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
Snowflake: Cloud data platform with separated storage and compute.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Snowflake entities map to PlanetScale
| Snowflake entity | PlanetScale object | Notes |
|---|---|---|
| databases | snowflake_databases | id PK · custom fields → JSON columns |
| schemas | snowflake_schemas | id PK · linked to snowflake_databases |
| tables | snowflake_tables | id PK · linked to snowflake_databases |
| views | snowflake_views | id PK · linked to snowflake_databases |
FAQ
How does Datrise handle Snowflake'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 Snowflake 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 Snowflake
More sources for PlanetScale
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