DatriseAI-first ETL

Sage CRM to PlanetScale Integration

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

How Datrise loads Sage CRM into PlanetScale

Datrise syncs Sage CRM's persons, companies, opportunities, cases, communications, and leads 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

Sage CRM: CRM tied to Sage accounting for mid-market operations.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Sage CRM entities map to PlanetScale

Sage CRM entityPlanetScale objectNotes
personssage_crm_personsid PK · custom fields → JSON columns
companiessage_crm_companiesid PK · linked to sage_crm_persons
opportunitiessage_crm_opportunitiesid PK · linked to sage_crm_persons
casessage_crm_casesid PK · linked to sage_crm_persons

FAQ

How does Datrise handle Sage 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 Sage 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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