DatriseAI-first ETL

Stripe MySQL

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

How Datrise loads Stripe into MySQL

Datrise syncs Stripe's charges, customers, subscriptions, invoices, and balance transactions into MySQL 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/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

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

MySQL: Widely used OSS relational engine (InnoDB).

How Stripe entities map to MySQL

Stripe entityMySQL objectNotes
chargesstripe_chargesid PK · custom fields → JSON 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 MySQL?

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 MySQL types.

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

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

Related pipelines

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