DatriseAI-first ETL

RD Station CRM PlanetScale

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

How Datrise loads RD Station CRM into PlanetScale

Datrise syncs RD Station 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

RD Station CRM: CRM widely used in Latin America for sales pipeline and customer ops.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How RD Station CRM entities map to PlanetScale

RD Station CRM entityPlanetScale objectNotes
contactsrd_station_crm_contactsid PK · custom fields → JSON columns
accountsrd_station_crm_accountsid PK · linked to rd_station_crm_contacts
dealsrd_station_crm_dealsid PK · linked to rd_station_crm_contacts
activitiesrd_station_crm_activitiesDATETIME events

FAQ

How does Datrise handle RD Station 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 RD Station 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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