DatriseAI-first ETL

Nectar CRM to PlanetScale Integration

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

How Datrise loads Nectar CRM into PlanetScale

Datrise syncs Nectar CRM's contacts, companies, opportunities, sales stages, activities, and quotes 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

Nectar CRM: B2B sales CRM with playbooks for Brazilian teams.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Nectar CRM entities map to PlanetScale

Nectar CRM entityPlanetScale objectNotes
contactsnectar_crm_contactsid PK · custom fields → JSON columns
companiesnectar_crm_companiesid PK · linked to nectar_crm_contacts
opportunitiesnectar_crm_opportunitiesid PK · linked to nectar_crm_contacts
sales stagesnectar_crm_sales_stagesid PK · linked to nectar_crm_contacts

FAQ

How does Datrise handle Nectar 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 Nectar 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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