DatriseAI-first ETL

Deputy to PostgreSQL Integration

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

How Datrise loads Deputy into PostgreSQL

Datrise syncs Deputy's employees, shifts, timesheets, locations, leave requests, and pay rates 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

Deputy: Workforce scheduling and timesheet management.

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

How Deputy entities map to PostgreSQL

Deputy entityPostgreSQL objectNotes
employeesdeputy_employeesid PK · custom fields → jsonb columns
shiftsdeputy_shiftsid PK · linked to deputy_employees
timesheetsdeputy_timesheetsid PK · linked to deputy_employees
locationsdeputy_locationsid PK · linked to deputy_employees

FAQ

How does Datrise handle Deputy'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 Deputy 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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