DatriseAI-first ETL

IBM IBM Db2 to Spotfire Integration

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

How Datrise loads IBM IBM Db2 into Spotfire

Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

IBM IBM Db2: IBM relational database for transactional workloads.

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How IBM IBM Db2 entities map to Spotfire

IBM IBM Db2 entitySpotfire objectNotes
tablesdb2_tablesid PK · custom fields → flattened columns for visualizations
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 Spotfire?

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

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