DatriseAI-first ETL

Oracle CX Neon

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

How Datrise loads Oracle CX into Neon

Datrise syncs Oracle CX's enterprise CX entities across sales, service, and customer operations into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

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

Neon: Serverless Postgres destination with branching and autoscaling.

How Oracle CX entities map to Neon

Oracle CX entityNeon objectNotes
enterprise CX entities across salesoracle_cx_enterprise_cx_entities_across_salesid PK · custom fields → jsonb columns
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 Neon?

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

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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