DatriseAI-first ETL

Deputy to Oracle Database Integration

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

How Datrise loads Deputy into Oracle Database

Datrise syncs Deputy's employees, shifts, timesheets, locations, leave requests, and pay rates into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.

Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.

Endpoints

Deputy: Workforce scheduling and timesheet management.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Deputy entities map to Oracle Database

Deputy entityOracle Database objectNotes
employeesdeputy_employeesid PK · custom fields → JSON or CLOB 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 Oracle Database?

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

How does the Deputy to Oracle Database sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.

Related pipelines

Early access

Connect Deputy to Oracle Database the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.