DatriseAI-first ETL

SAP Fieldglass to PostgreSQL Integration

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

How Datrise loads SAP Fieldglass into PostgreSQL

Datrise syncs SAP Fieldglass's workers, job postings, work orders, time sheets, suppliers, and invoices 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

SAP Fieldglass: External workforce and contingent labor management.

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

How SAP Fieldglass entities map to PostgreSQL

SAP Fieldglass entityPostgreSQL objectNotes
workerssap_fieldglass_workersid PK · custom fields → jsonb columns
job postingssap_fieldglass_job_postingsid PK · linked to sap_fieldglass_workers
work orderssap_fieldglass_work_ordersid PK · linked to sap_fieldglass_workers
time sheetssap_fieldglass_time_sheetsid PK · linked to sap_fieldglass_workers

FAQ

How does Datrise handle SAP Fieldglass'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 SAP Fieldglass 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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