Chargebee → PlanetScale
AI-first ETL from Chargebee into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Chargebee into PlanetScale
Datrise syncs Chargebee's subscriptions, invoices, customers, plans, and revenue 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
Chargebee: Subscription billing and revenue operations platform.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Chargebee entities map to PlanetScale
| Chargebee entity | PlanetScale object | Notes |
|---|---|---|
| subscriptions | chargebee_subscriptions | id PK · custom fields → JSON columns |
| invoices | chargebee_invoices | id PK · linked to chargebee_subscriptions |
| customers | chargebee_customers | id PK · linked to chargebee_subscriptions |
| plans | chargebee_plans | id PK · linked to chargebee_subscriptions |
FAQ
How does Datrise handle Chargebee'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 Chargebee 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 Chargebee
More sources for PlanetScale
Early access
Connect Chargebee 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.