DatriseAI-first ETL

Zoho CRM Domo

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

How Datrise loads Zoho CRM into Domo

Datrise syncs Zoho CRM's leads, contacts, accounts, deals, and workflow-driven field changes into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

Zoho CRM: Modular CRM with strong automation and telephony.

Domo: Cloud BI platform combining data integration and executive dashboards.

How Zoho CRM entities map to Domo

Zoho CRM entityDomo objectNotes
leadszoho_crm_leadsid PK · custom fields → flattened columns for Magic ETL
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 Domo?

Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.

How does the Zoho CRM to Domo sync stay up to date?

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

Early access

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