DatriseAI-first ETL

Stripe Amazon Redshift

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

How Datrise loads Stripe into Amazon Redshift

Datrise syncs Stripe's charges, customers, subscriptions, invoices, and balance transactions into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.

Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.

Ideal for AWS-native warehouses already using the Redshift ecosystem.

Endpoints

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

Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.

How Stripe entities map to Amazon Redshift

Stripe entityAmazon Redshift objectNotes
chargesstripe_chargesid PK · custom fields → SUPER 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 Amazon Redshift?

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

How does the Stripe to Amazon Redshift sync stay up to date?

It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.

Related pipelines

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