DatriseAI-first ETL

Maximizer CRM to PlanetScale Integration

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 address book entries, opportunities, customer service cases, interactions, notes, and campaigns 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: Long-standing CRM for address book and case tracking.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Maximizer CRM entities map to PlanetScale

Maximizer CRM entityPlanetScale objectNotes
address book entriesmaximizer_address_book_entriesid PK · custom fields → JSON columns
opportunitiesmaximizer_opportunitiesid PK · linked to maximizer_address_book_entries
customer service casesmaximizer_customer_service_casesid PK · linked to maximizer_address_book_entries
interactionsmaximizer_interactionsid PK · linked to maximizer_address_book_entries

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

Early access

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