DatriseAI-first ETL

Twenty CRM to PostgreSQL Integration

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 people, companies, opportunities, notes, tasks, and custom objects 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 with a customizable object model.

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

How Twenty CRM entities map to PostgreSQL

Twenty CRM entityPostgreSQL objectNotes
peopletwenty_peopleid PK · custom fields → jsonb columns
companiestwenty_companiesid PK · linked to twenty_people
opportunitiestwenty_opportunitiesid PK · linked to twenty_people
notestwenty_notesid PK · linked to twenty_people

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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