DatriseAI-first ETL

Metabase to Neon Integration

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

How Datrise loads Metabase into Neon

Datrise syncs Metabase's questions, dashboards, collections, cards, users, and query executions into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Metabase: Self-service BI over existing databases.

Neon: Serverless Postgres destination with branching and autoscaling.

How Metabase entities map to Neon

Metabase entityNeon 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 Neon?

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 Neon types.

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

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

Related pipelines

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