Microsoft SQL Server to Looker Integration
AI-first ETL from Microsoft SQL Server into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft SQL Server into Looker
Datrise syncs Microsoft SQL Server's tables, rows, schemas, indexes, primary keys, and change tracking into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.
Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.
Ideal for governed, version-controlled BI on a warehouse.
Endpoints
Microsoft SQL Server: Microsoft SQL Server transactional databases.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How Microsoft SQL Server entities map to Looker
| Microsoft SQL Server entity | Looker object | Notes |
|---|---|---|
| tables | mssql_sql_server_tables | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| rows | mssql_sql_server_rows | id PK · linked to mssql_sql_server_tables |
| schemas | mssql_sql_server_schemas | id PK · linked to mssql_sql_server_tables |
| indexes | mssql_sql_server_indexes | id PK · linked to mssql_sql_server_tables |
FAQ
How does Datrise handle Microsoft SQL Server's custom fields in Looker?
Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.
How does the Microsoft SQL Server to Looker sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.
Related pipelines
More destinations for Microsoft SQL Server
- Microsoft SQL Server → Looker Studio
- Microsoft SQL Server → Microsoft Power BI
- Microsoft SQL Server → Tableau
- Microsoft SQL Server → Apache Superset
- Microsoft SQL Server → Metabase
- Microsoft SQL Server → Amazon QuickSight
- Microsoft SQL Server → Domo
- Microsoft SQL Server → Sisense
- Microsoft SQL Server → ThoughtSpot
- Microsoft SQL Server → Qlik
- Microsoft SQL Server → Mode
- Microsoft SQL Server → Redash
Early access
Connect Microsoft SQL Server to Looker the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.