DatriseAI-first ETL

Metabase to Azure Synapse Integration

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

How Datrise loads Metabase into Azure Synapse

Datrise syncs Metabase's questions, dashboards, collections, cards, users, and query executions into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Metabase: Self-service BI over existing databases.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Metabase entities map to Azure Synapse

Metabase entityAzure Synapse objectNotes
questionsmetabase_questionsid PK · custom fields → NVARCHAR(MAX) JSON 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 Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Metabase to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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