SAP → Birst
AI-first ETL from SAP into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads SAP into Birst
Datrise syncs SAP's finance, procurement, operations, and master-data entities into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
SAP: ERP source for finance, operations, and procurement entities.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How SAP entities map to Birst
| SAP entity | Birst object | Notes |
|---|---|---|
| finance | sap_finance | id PK · custom fields → flattened columns |
| procurement | sap_procurement | id PK · linked to sap_finance |
| operations | sap_operations | id PK · linked to sap_finance |
| master-data entities | sap_master_data_entities | id PK · linked to sap_finance |
FAQ
How does Datrise handle SAP's custom fields in Birst?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.
How does the SAP to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
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