DatriseAI-first ETL

Twenty CRM Looker Studio

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

How Datrise loads Twenty CRM into Looker Studio

Datrise syncs Twenty 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

Twenty CRM: Open-source CRM for customizable sales and customer workflows.

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

How Twenty CRM entities map to Looker Studio

Twenty CRM entityLooker Studio objectNotes
contactstwenty_contactsid PK · custom fields → flattened columns for chart fields
accountstwenty_accountsid PK · linked to twenty_contacts
dealstwenty_dealsid PK · linked to twenty_contacts
activitiestwenty_activitiesdate dimension columns events

FAQ

How does Datrise handle Twenty 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 Twenty 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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