DatriseAI-first ETL

Bloomerang PlanetScale

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

How Datrise loads Bloomerang into PlanetScale

Datrise syncs Bloomerang'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

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

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Bloomerang entities map to PlanetScale

Bloomerang entityPlanetScale objectNotes
contactsbloomerang_contactsid PK · custom fields → JSON columns
accountsbloomerang_accountsid PK · linked to bloomerang_contacts
dealsbloomerang_dealsid PK · linked to bloomerang_contacts
activitiesbloomerang_activitiesDATETIME events

FAQ

How does Datrise handle Bloomerang'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 Bloomerang 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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