DatriseAI-first ETL

Zoho CRM PlanetScale

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

How Datrise loads Zoho CRM into PlanetScale

Datrise syncs Zoho CRM's leads, contacts, accounts, deals, and workflow-driven field changes 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

Zoho CRM: Modular CRM with strong automation and telephony.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Zoho CRM entities map to PlanetScale

Zoho CRM entityPlanetScale objectNotes
leadszoho_crm_leadsid PK · custom fields → JSON columns
contactszoho_crm_contactsid PK · linked to zoho_crm_leads
accountszoho_crm_accountsid PK · linked to zoho_crm_leads
dealszoho_crm_dealsid PK · linked to zoho_crm_leads

FAQ

How does Datrise handle Zoho 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 Zoho 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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