Microsoft SQL Server integration

Microsoft SQL Server data, in your warehouse.

A built-in ingestr connector: add credentials, pick tables, schedule it.

name: raw.dbo_customers
type: ingestr
parameters:
  source_connection: microsoft_sql_server
  source_table: 'dbo.Customers'
  destination: snowflake
  incremental_strategy: merge

$ bruin run assets/raw/microsoft_sql_server.asset.yml

  1. extract · Microsoft SQL Server dbo.Customersincremental
  2. load · snowflake raw.dbo_Customersmerged
  3. checks · not_null, unique

Loaded and checked. Downstream models can run.

How it connects

Connected in three steps.

Microsoft SQL Server is an enterprise-grade relational database with comprehensive BI tools.

  1. 01

    Add a Microsoft SQL Server connection with its credentials.

  2. 02

    Pick the tables to load and how: replace, append or merge.

  3. 03

    Bruin runs it on your schedule and checks every load.

Connection parameters

username
SQL Server login
password
Login password
host
Server name or IP
port
Port number (default 1433)
database
Database name
encrypt
Use encryption (true/false)
trustServerCertificate
Trust certificate

Every way Microsoft SQL Server works with Bruin

  • SourceBuilt-in ingestr sourceDocs →
  • DestinationBuilt-in ingestr destinationDocs →
  • Query engineRuns SQL and Python assetsDocs →

Tables

3 tables, ready to load.

  • dbo.Customers
  • Sales.Orders
  • Production.Products

The platform

Part of the Bruin platform.

Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.

Frequently asked

Questions about Microsoft SQL Server.

Does Bruin have a built-in Microsoft SQL Server integration?

Yes. Built-in ingestr source. Built-in ingestr destination. Runs SQL and Python assets.

Which Microsoft SQL Server tables can Bruin load?

dbo.Customers, Sales.Orders, Production.Products.

Where can Microsoft SQL Server data go?

Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.

How fresh is the data?

As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.

Do we need Bruin Cloud?

No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.

Ready to connect Microsoft SQL Server?

$100 in credits and 50 AI tasks. No credit card.

A demo walks through your own data.

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