DatriseAI-first ETL

IBM IBM Db2 to MicroStrategy Integration

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

How Datrise loads IBM IBM Db2 into MicroStrategy

Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data into MicroStrategy as warehouse tables for MicroStrategy's schema objects. 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 warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

IBM IBM Db2: IBM relational database for transactional workloads.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How IBM IBM Db2 entities map to MicroStrategy

IBM IBM Db2 entityMicroStrategy 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 MicroStrategy?

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 MicroStrategy types.

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

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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