IBM IBM Db2 to Looker Studio Integration
AI-first ETL from IBM IBM Db2 into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads IBM IBM Db2 into Looker Studio
Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.
Ideal for free, shareable dashboards on Google data sources.
Endpoints
IBM IBM Db2: IBM relational database for transactional workloads.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How IBM IBM Db2 entities map to Looker Studio
| IBM IBM Db2 entity | Looker Studio object | Notes |
|---|---|---|
| tables | db2_tables | id PK · custom fields → flattened columns for chart fields |
| 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 Looker Studio?
Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.
How does the IBM IBM Db2 to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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Early access
Connect IBM IBM Db2 to Looker Studio the easy way
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