DatriseAI-first ETL

Twenty CRM PostgreSQL

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

How Datrise loads Twenty CRM into PostgreSQL

Datrise syncs Twenty CRM's contacts, accounts, deals, activities, and lifecycle events into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

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

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Twenty CRM entities map to PostgreSQL

Twenty CRM entityPostgreSQL objectNotes
contactstwenty_contactsid PK · custom fields → jsonb columns
accountstwenty_accountsid PK · linked to twenty_contacts
dealstwenty_dealsid PK · linked to twenty_contacts
activitiestwenty_activitiestimestamptz events

FAQ

How does Datrise handle Twenty CRM's custom fields in PostgreSQL?

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

How does the Twenty CRM to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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