Partnerstack to MySQL Integration

How Datrise loads Partnerstack into MySQL

Datrise syncs Partnerstack's partners, customers, transactions, rewards, links, and group memberships 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

Partnerstack: Partner, affiliate, and reseller program management.

MySQL: Widely used OSS relational engine (InnoDB).

How Partnerstack entities map to MySQL

Partnerstack entity	MySQL object	Notes
partners	`partnerstack_partners`	id PK · custom fields → JSON columns
customers	`partnerstack_customers`	id PK · linked to partnerstack_partners
transactions	`partnerstack_transactions`	id PK · linked to partnerstack_partners
rewards	`partnerstack_rewards`	id PK · linked to partnerstack_partners

FAQ

How does Datrise handle Partnerstack'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 Partnerstack 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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