DatriseAI-first ETL

PayPal Transactions to Neon Integration

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

How Datrise loads PayPal Transactions into Neon

Datrise syncs PayPal Transactions's transactions, payers, balances, fees, refunds, and currency conversions 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

PayPal Transactions: PayPal transaction history and settlement detail.

Neon: Serverless Postgres destination with branching and autoscaling.

How PayPal Transactions entities map to Neon

PayPal Transactions entityNeon objectNotes
transactionspaypal_transaction_transactionsid PK · custom fields → jsonb columns
payerspaypal_transaction_payersid PK · linked to paypal_transaction_transactions
balancespaypal_transaction_balancesid PK · linked to paypal_transaction_transactions
feespaypal_transaction_feesid PK · linked to paypal_transaction_transactions

FAQ

How does Datrise handle PayPal Transactions'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 PayPal Transactions 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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