SAP → Chartio
AI-first ETL from SAP into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads SAP into Chartio
Datrise syncs SAP's finance, procurement, operations, and master-data entities into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
SAP: ERP source for finance, operations, and procurement entities.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How SAP entities map to Chartio
| SAP entity | Chartio object | Notes |
|---|---|---|
| finance | sap_finance | id PK · custom fields → flattened columns for visual SQL |
| 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 Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the SAP to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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