DatriseAI-first ETL

GoCardless to MySQL Integration

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

How Datrise loads GoCardless into MySQL

Datrise syncs GoCardless's payments, customers, mandates, subscriptions, payouts, and refunds 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

GoCardless: Bank debit collection and recurring payments.

MySQL: Widely used OSS relational engine (InnoDB).

How GoCardless entities map to MySQL

GoCardless entityMySQL objectNotes
paymentsgocardless_paymentsid PK · custom fields → JSON columns
customersgocardless_customersid PK · linked to gocardless_payments
mandatesgocardless_mandatesid PK · linked to gocardless_payments
subscriptionsgocardless_subscriptionsid PK · linked to gocardless_payments

FAQ

How does Datrise handle GoCardless'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 GoCardless 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

Early access

Connect GoCardless to MySQL the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.