DatriseAI-first ETL

Zoho CRM Metabase

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

How Datrise loads Zoho CRM into Metabase

Datrise syncs Zoho CRM's leads, contacts, accounts, deals, and workflow-driven field changes into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Zoho CRM: Modular CRM with strong automation and telephony.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Zoho CRM entities map to Metabase

Zoho CRM entityMetabase objectNotes
leadszoho_crm_leadsid PK · custom fields → flattened columns for the question builder
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 Metabase?

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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