IBM IBM Db2 to Chartio Integration
AI-first ETL from IBM IBM Db2 into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads IBM IBM Db2 into Chartio
Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, 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. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
IBM IBM Db2: IBM relational database for transactional workloads.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How IBM IBM Db2 entities map to Chartio
| IBM IBM Db2 entity | Chartio object | Notes |
|---|---|---|
| tables | db2_tables | id PK · custom fields → flattened columns for visual SQL |
| 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 Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the IBM IBM Db2 to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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