DatriseAI-first ETL

Plaid to Neon Integration

AI-first ETL from Plaid into Neon. Governed entities, incremental sync, typed landing tables.

How Datrise loads Plaid into Neon

Datrise syncs Plaid's accounts, transactions, balances, items, institutions, and account holders into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Plaid: Bank account connectivity and transaction feeds.

Neon: Serverless Postgres destination with branching and autoscaling.

How Plaid entities map to Neon

Plaid entityNeon objectNotes
accountsplaid_accountsid PK · custom fields → jsonb 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 Neon?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Neon types.

How does the Plaid to Neon sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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