DatriseAI-first ETL

Oracle CX Metabase

AI-first ETL from Oracle CX into Metabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Oracle CX into Metabase

Datrise syncs Oracle CX's enterprise CX entities across sales, service, and customer operations into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Oracle CX: Enterprise customer experience suite with sales and service data.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Oracle CX entities map to Metabase

Oracle CX entityMetabase objectNotes
enterprise CX entities across salesoracle_cx_enterprise_cx_entities_across_salesid PK · custom fields → flattened columns for the question builder
serviceoracle_cx_serviceid PK · linked to oracle_cx_enterprise_cx_entities_across_sales
customer operationsoracle_cx_customer_operationsid PK · linked to oracle_cx_enterprise_cx_entities_across_sales

FAQ

How does Datrise handle Oracle CX's custom fields in Metabase?

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

How does the Oracle CX to Metabase sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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