Klarna to PlanetScale Integration
AI-first ETL from Klarna into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Klarna into PlanetScale
Datrise syncs Klarna's orders, payments, customers, settlements, refunds, and disputes 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
Klarna: Buy-now-pay-later checkout and settlements.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Klarna entities map to PlanetScale
| Klarna entity | PlanetScale object | Notes |
|---|---|---|
| orders | klarna_orders | id PK · custom fields → JSON columns |
| payments | klarna_payments | id PK · linked to klarna_orders |
| customers | klarna_customers | id PK · linked to klarna_orders |
| settlements | klarna_settlements | id PK · linked to klarna_orders |
FAQ
How does Datrise handle Klarna'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 Klarna 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 Klarna
Early access
Connect Klarna 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.