DatriseAI-first ETL

Paystack to MySQL Integration

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

How Datrise loads Paystack into MySQL

Datrise syncs Paystack's transactions, customers, plans, subscriptions, settlements, 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

Paystack: Online payment collection for African markets.

MySQL: Widely used OSS relational engine (InnoDB).

How Paystack entities map to MySQL

Paystack entityMySQL objectNotes
transactionspaystack_transactionsid PK · custom fields → JSON columns
customerspaystack_customersid PK · linked to paystack_transactions
planspaystack_plansid PK · linked to paystack_transactions
subscriptionspaystack_subscriptionsid PK · linked to paystack_transactions

FAQ

How does Datrise handle Paystack'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 Paystack 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 Paystack 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.