Oracle CX → ClickHouse
AI-first ETL from Oracle CX into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Oracle CX into ClickHouse
Datrise syncs Oracle CX's enterprise CX entities across sales, service, and customer operations into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.
Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.
Ideal for high-volume event analytics that need sub-second aggregation.
Endpoints
Oracle CX: Enterprise customer experience suite with sales and service data.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Oracle CX entities map to ClickHouse
| Oracle CX entity | ClickHouse object | Notes |
|---|---|---|
| enterprise CX entities across sales | oracle_cx_enterprise_cx_entities_across_sales | id PK · custom fields → JSON or Map columns |
| 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 ClickHouse?
Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.
How does the Oracle CX to ClickHouse sync stay up to date?
It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.
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