Oracle CX → Amazon QuickSight
AI-first ETL from Oracle CX into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.
How Datrise loads Oracle CX into Amazon QuickSight
Datrise syncs Oracle CX's enterprise CX entities across sales, service, and customer operations into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.
Ideal for AWS-native dashboards with pay-per-session pricing.
Endpoints
Oracle CX: Enterprise customer experience suite with sales and service data.
Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.
How Oracle CX entities map to Amazon QuickSight
| Oracle CX entity | Amazon QuickSight object | Notes |
|---|---|---|
| enterprise CX entities across sales | oracle_cx_enterprise_cx_entities_across_sales | id PK · custom fields → flattened columns for analyses |
| 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 Amazon QuickSight?
Flexible values are stored as flattened columns for analyses, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon QuickSight types.
How does the Oracle CX to Amazon QuickSight sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.
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Early access
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