DatriseAI-first ETL

Partnerstack to PlanetScale Integration

AI-first ETL from Partnerstack into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads Partnerstack into PlanetScale

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

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

Partnerstack: Partner, affiliate, and reseller program management.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Partnerstack entities map to PlanetScale

Partnerstack entityPlanetScale objectNotes
partnerspartnerstack_partnersid PK · custom fields → JSON columns
customerspartnerstack_customersid PK · linked to partnerstack_partners
transactionspartnerstack_transactionsid PK · linked to partnerstack_partners
rewardspartnerstack_rewardsid PK · linked to partnerstack_partners

FAQ

How does Datrise handle Partnerstack's custom fields in PlanetScale?

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 PlanetScale types.

How does the Partnerstack to PlanetScale 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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