DatriseAI-first ETL

JobAdder PostgreSQL

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

How Datrise loads JobAdder into PostgreSQL

Datrise syncs JobAdder'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

JobAdder: Recruiting CRM/ATS for candidates, pipelines, and placements.

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

How JobAdder entities map to PostgreSQL

JobAdder entityPostgreSQL objectNotes
contactsjobadder_contactsid PK · custom fields → jsonb columns
accountsjobadder_accountsid PK · linked to jobadder_contacts
dealsjobadder_dealsid PK · linked to jobadder_contacts
activitiesjobadder_activitiestimestamptz events

FAQ

How does Datrise handle JobAdder'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 JobAdder 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

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