DatriseAI-first ETL

Ibm Db2 Birst

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

How Datrise loads Ibm Db2 into Birst

Datrise syncs Ibm Db2's records, events, and configuration objects into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

Ibm Db2: SaaS or API data source for analytics and warehouse sync.

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Ibm Db2 entities map to Birst

Ibm Db2 entityBirst objectNotes
recordsibm_db2_recordsid PK · custom fields → flattened columns
eventsibm_db2_eventsdate/time dimensions events
configuration objectsibm_db2_configuration_objectsid PK · linked to ibm_db2_records

FAQ

How does Datrise handle Ibm Db2's custom fields in Birst?

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

How does the Ibm Db2 to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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