SAP → Spotfire
AI-first ETL from SAP into Spotfire. Governed entities, incremental sync, typed landing tables.
How Datrise loads SAP into Spotfire
Datrise syncs SAP's finance, procurement, operations, and master-data entities into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.
Ideal for interactive analytical visualization and data science.
Endpoints
SAP: ERP source for finance, operations, and procurement entities.
Spotfire: Visual analytics platform for interactive dashboards and data science workflows.
How SAP entities map to Spotfire
| SAP entity | Spotfire object | Notes |
|---|---|---|
| finance | sap_finance | id PK · custom fields → flattened columns for visualizations |
| 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 Spotfire?
Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.
How does the SAP to Spotfire sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.
Related pipelines
More destinations for SAP
Early access
Connect SAP to Spotfire the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.