DatriseAI-first ETL

Metabase to GoodData Integration

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

How Datrise loads Metabase into GoodData

Datrise syncs Metabase's questions, dashboards, collections, cards, users, and query executions into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

Metabase: Self-service BI over existing databases.

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Metabase entities map to GoodData

Metabase entityGoodData 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 GoodData?

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 GoodData types.

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

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

Related pipelines

Early access

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