DatriseAI-first ETL

IBM IBM Db2 to Birst Integration

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

How Datrise loads IBM IBM Db2 into Birst

Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data 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 IBM Db2: IBM relational database for transactional workloads.

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

How IBM IBM Db2 entities map to Birst

IBM IBM Db2 entityBirst objectNotes
tablesdb2_tablesid PK · custom fields → flattened 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 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 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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