DatriseAI-first ETL

Metabase to PostgreSQL Integration

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

How Datrise loads Metabase into PostgreSQL

Datrise syncs Metabase's questions, dashboards, collections, cards, users, and query executions into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Metabase: Self-service BI over existing databases.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Metabase entities map to PostgreSQL

Metabase entityPostgreSQL objectNotes
questionsmetabase_questionsid PK · custom fields → jsonb 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 PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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