DatriseAI-first ETL

Zoho CRM Looker Studio

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

How Datrise loads Zoho CRM into Looker Studio

Datrise syncs Zoho CRM's leads, contacts, accounts, deals, and workflow-driven field changes into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

Zoho CRM: Modular CRM with strong automation and telephony.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Zoho CRM entities map to Looker Studio

Zoho CRM entityLooker Studio objectNotes
leadszoho_crm_leadsid PK · custom fields → flattened columns for chart fields
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 Looker Studio?

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

How does the Zoho CRM to Looker Studio sync stay up to date?

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

Related pipelines

Early access

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