Shiphero to PlanetScale Integration
AI-first ETL from Shiphero into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Shiphero into PlanetScale
Datrise syncs Shiphero's orders, shipments, products, inventory levels, warehouses, and returns 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
Shiphero: Warehouse management and fulfillment operations.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Shiphero entities map to PlanetScale
| Shiphero entity | PlanetScale object | Notes |
|---|---|---|
| orders | shiphero_orders | id PK · custom fields → JSON columns |
| shipments | shiphero_shipments | id PK · linked to shiphero_orders |
| products | shiphero_products | id PK · linked to shiphero_orders |
| inventory levels | shiphero_inventory_levels | id PK · linked to shiphero_orders |
FAQ
How does Datrise handle Shiphero'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 Shiphero 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 Shiphero
More sources for PlanetScale
Early access
Connect Shiphero to PlanetScale the easy way
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