Oracle CX → Domo
AI-first ETL from Oracle CX into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads Oracle CX into Domo
Datrise syncs Oracle CX's enterprise CX entities across sales, service, and customer operations 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
Oracle CX: Enterprise customer experience suite with sales and service data.
Domo: Cloud BI platform combining data integration and executive dashboards.
How Oracle CX entities map to Domo
| Oracle CX entity | Domo object | Notes |
|---|---|---|
| enterprise CX entities across sales | oracle_cx_enterprise_cx_entities_across_sales | id PK · custom fields → flattened columns for Magic ETL |
| service | oracle_cx_service | id PK · linked to oracle_cx_enterprise_cx_entities_across_sales |
| customer operations | oracle_cx_customer_operations | id PK · linked to oracle_cx_enterprise_cx_entities_across_sales |
FAQ
How does Datrise handle Oracle CX'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 Oracle CX to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
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