DatriseAI-first ETL

Metabase to Birst Integration

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

How Datrise loads Metabase into Birst

Datrise syncs Metabase's questions, dashboards, collections, cards, users, and query executions into Birst as warehouse tables for Birst's automated star schema. 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 source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

Metabase: Self-service BI over existing databases.

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Metabase entities map to Birst

Metabase entityBirst objectNotes
questionsmetabase_questionsid PK · custom fields → flattened columns
dashboardsmetabase_dashboardsid PK · linked to metabase_questions
collectionsmetabase_collectionsid PK · linked to metabase_questions
cardsmetabase_cardsid PK · linked to metabase_questions

FAQ

How does Datrise handle Metabase's custom fields in Birst?

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 Birst types.

How does the Metabase to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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