DatriseAI-first ETL

DonorPerfect PlanetScale

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

How Datrise loads DonorPerfect into PlanetScale

Datrise syncs DonorPerfect's contacts, accounts, deals, activities, and lifecycle events 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

DonorPerfect: Nonprofit CRM for donors, campaigns, and stewardship.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How DonorPerfect entities map to PlanetScale

DonorPerfect entityPlanetScale objectNotes
contactsdonorperfect_contactsid PK · custom fields → JSON columns
accountsdonorperfect_accountsid PK · linked to donorperfect_contacts
dealsdonorperfect_dealsid PK · linked to donorperfect_contacts
activitiesdonorperfect_activitiesDATETIME events

FAQ

How does Datrise handle DonorPerfect'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 DonorPerfect 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

Early access

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