IBM IBM Db2 to Redash Integration
AI-first ETL from IBM IBM Db2 into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads IBM IBM Db2 into Redash
Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
IBM IBM Db2: IBM relational database for transactional workloads.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How IBM IBM Db2 entities map to Redash
| IBM IBM Db2 entity | Redash object | Notes |
|---|---|---|
| tables | db2_tables | id PK · custom fields → flattened columns for query results |
| 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 Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the IBM IBM Db2 to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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