DatriseAI-first ETL

Stripe PostgreSQL

AI-first ETL from Stripe into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Stripe into PostgreSQL

Datrise syncs Stripe's charges, customers, subscriptions, invoices, and balance transactions into PostgreSQL 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Stripe: Payments infrastructure for charges, subscriptions, and payouts.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Stripe entities map to PostgreSQL

Stripe entityPostgreSQL objectNotes
chargesstripe_chargesid PK · custom fields → jsonb columns
customersstripe_customersid PK · linked to stripe_charges
subscriptionsstripe_subscriptionsid PK · linked to stripe_charges
invoicesstripe_invoicesid PK · linked to stripe_charges

FAQ

How does Datrise handle Stripe's custom fields in PostgreSQL?

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 PostgreSQL types.

How does the Stripe to PostgreSQL sync stay up to date?

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

Related pipelines

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