DatriseAI-first ETL

Maximizer CRM PlanetScale

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

How Datrise loads Maximizer CRM into PlanetScale

Datrise syncs Maximizer CRM'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

Maximizer CRM: CRM for SMB teams managing pipeline, contacts, and customer activity.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Maximizer CRM entities map to PlanetScale

Maximizer CRM entityPlanetScale objectNotes
contactsmaximizer_contactsid PK · custom fields → JSON columns
accountsmaximizer_accountsid PK · linked to maximizer_contacts
dealsmaximizer_dealsid PK · linked to maximizer_contacts
activitiesmaximizer_activitiesDATETIME events

FAQ

How does Datrise handle Maximizer CRM'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 Maximizer CRM 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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