Braintree → PlanetScale
AI-first ETL from Braintree into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Braintree into PlanetScale
Datrise syncs Braintree's transactions, customers, disputes, and settlement records 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
Braintree: PayPal-owned payment gateway for card and wallet transactions.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Braintree entities map to PlanetScale
| Braintree entity | PlanetScale object | Notes |
|---|---|---|
| transactions | braintree_transactions | id PK · custom fields → JSON columns |
| customers | braintree_customers | id PK · linked to braintree_transactions |
| disputes | braintree_disputes | id PK · linked to braintree_transactions |
| settlement records | braintree_settlement_records | id PK · linked to braintree_transactions |
FAQ
How does Datrise handle Braintree'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 Braintree 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
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