DatriseAI-first ETL

BambooHR PostgreSQL

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

How Datrise loads BambooHR into PostgreSQL

Datrise syncs BambooHR's employee records, org structure, lifecycle events, and workforce attributes 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

BambooHR: HRIS source for employee records and workforce analytics.

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

How BambooHR entities map to PostgreSQL

BambooHR entityPostgreSQL objectNotes
employee recordsbamboohr_employee_recordsid PK · custom fields → jsonb columns
org structurebamboohr_org_structureid PK · linked to bamboohr_employee_records
lifecycle eventsbamboohr_lifecycle_eventstimestamptz events
workforce attributesbamboohr_workforce_attributesid PK · linked to bamboohr_employee_records

FAQ

How does Datrise handle BambooHR'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 BambooHR 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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