DatriseAI-first ETL

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 entityPlanetScale objectNotes
accountsplaid_accountsid PK · custom fields → JSON columns
transactionsplaid_transactionsid PK · linked to plaid_accounts
balancesplaid_balancesid PK · linked to plaid_accounts
itemsplaid_itemsid 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

Early access

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