DatriseAI-first ETL

IBM IBM Db2 to Metabase Integration

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

How Datrise loads IBM IBM Db2 into Metabase

Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

IBM IBM Db2: IBM relational database for transactional workloads.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How IBM IBM Db2 entities map to Metabase

IBM IBM Db2 entityMetabase objectNotes
tablesdb2_tablesid PK · custom fields → flattened columns for the question builder
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 Metabase?

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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