DatriseAI-first ETL

IBM IBM Db2 to Qlik Integration

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

How Datrise loads IBM IBM Db2 into Qlik

Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data into Qlik as tables loaded into Qlik's associative engine (often via QVD). Flexible or custom fields land in flattened columns for the data model, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental QVD loads merged on stable id, so re-runs update only what changed. QVD files per entity and load date. Qlik's associative model joins on identically named fields, so Datrise standardizes key names so associations link correctly.

Ideal for associative, in-memory exploration in Qlik Sense.

Endpoints

IBM IBM Db2: IBM relational database for transactional workloads.

Qlik: Associative analytics with Qlik Sense apps and governed data models.

How IBM IBM Db2 entities map to Qlik

IBM IBM Db2 entityQlik objectNotes
tablesdb2_tablesid PK · custom fields → flattened columns for the data model
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 Qlik?

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

How does the IBM IBM Db2 to Qlik sync stay up to date?

It runs incrementally — Datrise uses incremental QVD loads merged on stable id.

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