DatriseAI-first ETL

Metabase to Microsoft SQL Server Integration

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

How Datrise loads Metabase into Microsoft SQL Server

Datrise syncs Metabase's questions, dashboards, collections, cards, users, and query executions into Microsoft SQL Server 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 a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

Metabase: Self-service BI over existing databases.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Metabase entities map to Microsoft SQL Server

Metabase entityMicrosoft SQL Server 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 Microsoft SQL Server?

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 Microsoft SQL Server types.

How does the Metabase to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

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