Metabase to Yellowfin Integration
AI-first ETL from Metabase into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Metabase into Yellowfin
Datrise syncs Metabase's questions, dashboards, collections, cards, users, and query executions into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Metabase: Self-service BI over existing databases.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Metabase entities map to Yellowfin
| Metabase entity | Yellowfin object | Notes |
|---|---|---|
| questions | metabase_questions | id PK · custom fields → flattened columns |
| dashboards | metabase_dashboards | id PK · linked to metabase_questions |
| collections | metabase_collections | id PK · linked to metabase_questions |
| cards | metabase_cards | id PK · linked to metabase_questions |
FAQ
How does Datrise handle Metabase's custom fields in Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the Metabase to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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Early access
Connect Metabase to Yellowfin the easy way
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