DatriseAI-first ETL

folk PostgreSQL

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

How Datrise loads folk into PostgreSQL

Datrise syncs folk'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

folk: AI-native CRM for relationship data, enrichment, and workflow automation.

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

How folk entities map to PostgreSQL

folk entityPostgreSQL objectNotes
contactsfolk_contactsid PK · custom fields → jsonb columns
accountsfolk_accountsid PK · linked to folk_contacts
dealsfolk_dealsid PK · linked to folk_contacts
activitiesfolk_activitiestimestamptz events

FAQ

How does Datrise handle folk'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 folk 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

Early access

Connect folk to PostgreSQL the easy way

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