IBM IBM Db2 to Domo Integration
AI-first ETL from IBM IBM Db2 into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads IBM IBM Db2 into Domo
Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.
Ideal for all-in-one cloud BI with built-in ETL.
Endpoints
IBM IBM Db2: IBM relational database for transactional workloads.
Domo: Cloud BI platform combining data integration and executive dashboards.
How IBM IBM Db2 entities map to Domo
| IBM IBM Db2 entity | Domo object | Notes |
|---|---|---|
| tables | db2_tables | id PK · custom fields → flattened columns for Magic ETL |
| rows | db2_rows | id PK · linked to db2_tables |
| schemas | db2_schemas | id PK · linked to db2_tables |
| indexes | db2_indexes | id PK · linked to db2_tables |
FAQ
How does Datrise handle IBM IBM Db2's custom fields in Domo?
Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.
How does the IBM IBM Db2 to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
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