DatriseAI-first ETL

IBM IBM Db2 to Tableau Integration

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

How Datrise loads IBM IBM Db2 into Tableau

Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.

Ideal for visual analytics and dashboards in Tableau.

Endpoints

IBM IBM Db2: IBM relational database for transactional workloads.

Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.

How IBM IBM Db2 entities map to Tableau

IBM IBM Db2 entityTableau objectNotes
tablesdb2_tablesid PK · custom fields → flattened columns for Tableau fields
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 Tableau?

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

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

It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.

Related pipelines

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