Plaid to PlanetScale Integration
AI-first ETL from Plaid into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Plaid into PlanetScale
Datrise syncs Plaid's accounts, transactions, balances, items, institutions, and account holders 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
Plaid: Bank account connectivity and transaction feeds.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Plaid entities map to PlanetScale
| Plaid entity | PlanetScale object | Notes |
|---|---|---|
| accounts | plaid_accounts | id PK · custom fields → JSON columns |
| transactions | plaid_transactions | id PK · linked to plaid_accounts |
| balances | plaid_balances | id PK · linked to plaid_accounts |
| items | plaid_items | id PK · linked to plaid_accounts |
FAQ
How does Datrise handle Plaid'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 Plaid 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 Plaid
More sources for PlanetScale
Early access
Connect Plaid to PlanetScale the easy way
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