Shopify → PlanetScale
AI-first ETL from Shopify into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Shopify into PlanetScale
Datrise syncs Shopify's orders, products, customers, inventory levels, and fulfillment events 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
Shopify: E-commerce platform for orders, catalog, and customer data.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Shopify entities map to PlanetScale
| Shopify entity | PlanetScale object | Notes |
|---|---|---|
| orders | shopify_orders | id PK · custom fields → JSON columns |
| products | shopify_products | id PK · linked to shopify_orders |
| customers | shopify_customers | id PK · linked to shopify_orders |
| inventory levels | shopify_inventory_levels | id PK · linked to shopify_orders |
FAQ
How does Datrise handle Shopify'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 Shopify 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 Shopify
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Early access
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