DatriseAI-first ETL

Agendor Looker Studio

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

How Datrise loads Agendor into Looker Studio

Datrise syncs Agendor's contacts, accounts, deals, activities, and lifecycle events 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

Agendor: CRM widely used in Latin America for sales pipeline and customer ops.

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

How Agendor entities map to Looker Studio

Agendor entityLooker Studio objectNotes
contactsagendor_contactsid PK · custom fields → flattened columns for chart fields
accountsagendor_accountsid PK · linked to agendor_contacts
dealsagendor_dealsid PK · linked to agendor_contacts
activitiesagendor_activitiesdate dimension columns events

FAQ

How does Datrise handle Agendor'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 Agendor to Looker Studio sync stay up to date?

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

Related pipelines

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