DatriseAI-first ETL

ForceManager PlanetScale

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

How Datrise loads ForceManager into PlanetScale

Datrise syncs ForceManager'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

ForceManager: European CRM for SMB and mid-market sales teams.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How ForceManager entities map to PlanetScale

ForceManager entityPlanetScale objectNotes
contactsforcemanager_contactsid PK · custom fields → JSON columns
accountsforcemanager_accountsid PK · linked to forcemanager_contacts
dealsforcemanager_dealsid PK · linked to forcemanager_contacts
activitiesforcemanager_activitiesDATETIME events

FAQ

How does Datrise handle ForceManager'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 ForceManager 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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