DatriseAI-first ETL

RD Station CRM Looker Studio

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

How Datrise loads RD Station CRM into Looker Studio

Datrise syncs RD Station CRM'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

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

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

How RD Station CRM entities map to Looker Studio

RD Station CRM entityLooker Studio objectNotes
contactsrd_station_crm_contactsid PK · custom fields → flattened columns for chart fields
accountsrd_station_crm_accountsid PK · linked to rd_station_crm_contacts
dealsrd_station_crm_dealsid PK · linked to rd_station_crm_contacts
activitiesrd_station_crm_activitiesdate dimension columns events

FAQ

How does Datrise handle RD Station 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 RD Station CRM 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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