DatriseAI-first ETL

SAP Fieldglass to Apache Superset Integration

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

How Datrise loads SAP Fieldglass into Apache Superset

Datrise syncs SAP Fieldglass's workers, job postings, work orders, time sheets, suppliers, and invoices into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

SAP Fieldglass: External workforce and contingent labor management.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How SAP Fieldglass entities map to Apache Superset

SAP Fieldglass entityApache Superset objectNotes
workerssap_fieldglass_workersid PK · custom fields → flattened columns for the explore UI
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 Apache Superset?

Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.

How does the SAP Fieldglass to Apache Superset sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

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