DatriseAI-first ETL

IBM IBM Db2 to ClickHouse Integration

AI-first ETL from IBM IBM Db2 into ClickHouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads IBM IBM Db2 into ClickHouse

Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data 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

IBM IBM Db2: IBM relational database for transactional workloads.

ClickHouse: Columnar OLAP engine for fast aggregations.

How IBM IBM Db2 entities map to ClickHouse

IBM IBM Db2 entityClickHouse objectNotes
tablesdb2_tablesid PK · custom fields → JSON or Map columns
rowsdb2_rowsid PK · linked to db2_tables
schemasdb2_schemasid PK · linked to db2_tables
indexesdb2_indexesid PK · linked to db2_tables

FAQ

How does Datrise handle IBM IBM Db2'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 IBM IBM Db2 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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