DatriseAI-first ETL

Oracle CX PlanetScale

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

How Datrise loads Oracle CX into PlanetScale

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

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

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

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Oracle CX entities map to PlanetScale

Oracle CX entityPlanetScale objectNotes
enterprise CX entities across salesoracle_cx_enterprise_cx_entities_across_salesid PK · custom fields → JSON 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 PlanetScale?

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

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

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

Related pipelines

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