DatriseAI-first ETL

Twenty CRM Metabase

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

How Datrise loads Twenty CRM into Metabase

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

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

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

How Twenty CRM entities map to Metabase

Twenty CRM entityMetabase objectNotes
contactstwenty_contactsid PK · custom fields → flattened columns for the question builder
accountstwenty_accountsid PK · linked to twenty_contacts
dealstwenty_dealsid PK · linked to twenty_contacts
activitiestwenty_activitiestemporal columns for trends events

FAQ

How does Datrise handle Twenty 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 Twenty CRM to Metabase sync stay up to date?

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

Related pipelines

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