DatriseAI-first ETL

SAP Domo

AI-first ETL from SAP into Domo. Governed entities, incremental sync, typed landing tables.

How Datrise loads SAP into Domo

Datrise syncs SAP's finance, procurement, operations, and master-data entities into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

SAP: ERP source for finance, operations, and procurement entities.

Domo: Cloud BI platform combining data integration and executive dashboards.

How SAP entities map to Domo

SAP entityDomo objectNotes
financesap_financeid PK · custom fields → flattened columns for Magic ETL
procurementsap_procurementid PK · linked to sap_finance
operationssap_operationsid PK · linked to sap_finance
master-data entitiessap_master_data_entitiesid PK · linked to sap_finance

FAQ

How does Datrise handle SAP's custom fields in Domo?

Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.

How does the SAP to Domo sync stay up to date?

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

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