SAP → Redash
AI-first ETL from SAP into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads SAP into Redash
Datrise syncs SAP's finance, procurement, operations, and master-data entities into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, 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 for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
SAP: ERP source for finance, operations, and procurement entities.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How SAP entities map to Redash
| SAP entity | Redash object | Notes |
|---|---|---|
| finance | sap_finance | id PK · custom fields → flattened columns for query results |
| 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 Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the SAP to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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