DatriseAI-first ETL

Oracle Database to ClickHouse Integration

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

How Datrise loads Oracle Database into ClickHouse

Datrise syncs Oracle Database's tables, rows, schemas, indexes, sequences, and redo log changes 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 Database: Oracle Database for enterprise transactional workloads.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Oracle Database entities map to ClickHouse

Oracle Database entityClickHouse objectNotes
tablesoracle_db_tablesid PK · custom fields → JSON or Map columns
rowsoracle_db_rowsid PK · linked to oracle_db_tables
schemasoracle_db_schemasid PK · linked to oracle_db_tables
indexesoracle_db_indexesid PK · linked to oracle_db_tables

FAQ

How does Datrise handle Oracle Database'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 Database 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.

Related pipelines

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