SAP Fieldglass to Microsoft SQL Server Integration
AI-first ETL from SAP Fieldglass into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads SAP Fieldglass into Microsoft SQL Server
Datrise syncs SAP Fieldglass's workers, job postings, work orders, time sheets, suppliers, and invoices into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
SAP Fieldglass: External workforce and contingent labor management.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How SAP Fieldglass entities map to Microsoft SQL Server
| SAP Fieldglass entity | Microsoft SQL Server object | Notes |
|---|---|---|
| workers | sap_fieldglass_workers | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| job postings | sap_fieldglass_job_postings | id PK · linked to sap_fieldglass_workers |
| work orders | sap_fieldglass_work_orders | id PK · linked to sap_fieldglass_workers |
| time sheets | sap_fieldglass_time_sheets | id PK · linked to sap_fieldglass_workers |
FAQ
How does Datrise handle SAP Fieldglass's custom fields in Microsoft SQL Server?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.
How does the SAP Fieldglass to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
Related pipelines
More destinations for SAP Fieldglass
- SAP Fieldglass → Oracle Database
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- SAP Fieldglass → Amazon S3 Data Lake
- SAP Fieldglass → Azure Data Lake Storage
- SAP Fieldglass → Azure Synapse
- SAP Fieldglass → Spreadsheets
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Early access
Connect SAP Fieldglass to Microsoft SQL Server the easy way
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