Ibm Db2 → ClickHouse
AI-first ETL from Ibm Db2 into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Ibm Db2 into ClickHouse
Datrise syncs Ibm Db2's records, events, and configuration objects 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 Db2: SaaS or API data source for analytics and warehouse sync.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Ibm Db2 entities map to ClickHouse
| Ibm Db2 entity | ClickHouse object | Notes |
|---|---|---|
| records | ibm_db2_records | id PK · custom fields → JSON or Map columns |
| events | ibm_db2_events | DateTime64 events |
| configuration objects | ibm_db2_configuration_objects | id PK · linked to ibm_db2_records |
FAQ
How does Datrise handle 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 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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