DatriseAI-first ETL

Microsoft SQL Server to Metabase Integration

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

How Datrise loads Microsoft SQL Server into Metabase

Datrise syncs Microsoft SQL Server's tables, rows, schemas, indexes, primary keys, and change tracking into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Microsoft SQL Server: Microsoft SQL Server transactional databases.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Microsoft SQL Server entities map to Metabase

Microsoft SQL Server entityMetabase objectNotes
tablesmssql_sql_server_tablesid PK · custom fields → flattened columns for the question builder
rowsmssql_sql_server_rowsid PK · linked to mssql_sql_server_tables
schemasmssql_sql_server_schemasid PK · linked to mssql_sql_server_tables
indexesmssql_sql_server_indexesid PK · linked to mssql_sql_server_tables

FAQ

How does Datrise handle Microsoft SQL Server's custom fields in Metabase?

Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.

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

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

Related pipelines

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