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Google BigQuery
Microsoft SQL
integrationGoogle BigQuery node
integrationMicrosoft SQL node

Google BigQuery and Microsoft SQL integration

n8n lets you integrate Google BigQuery with Microsoft SQL to build powerful workflows. Design automation that extracts, transforms and loads data between your apps and services. You can choose from thousands of ready-made apps or use our universal HTTP connector to sync apps not yet in our library.

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Build your own Google BigQuery and Microsoft SQL integration

Create custom Google BigQuery and Microsoft SQL workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

How to connect Google BigQuery and Microsoft SQL

  • Step 1: Add the first step

  • Step 2: Add Google BigQuery and Microsoft SQL nodes

  • Step 3: Connect Google BigQuery and Microsoft SQL

  • Step 4: Run workflow

Google BigQuery supported actions

  • Database
Execute Query
Execute a SQL query
Insert
Insert rows in a table

Microsoft SQL supported actions

Execute Query
Execute an SQL query
Insert
Insert rows in database
Update
Update rows in database
Delete
Delete rows in database

Google BigQuery and Microsoft SQL integration details

integrationGoogle BigQuery node
Google BigQuery

Many businesses use the Google Cloud service BigQuery for data reporting. BigQuery is categorized as an Advanced Data Connector. The amount of data that needs to be processed could be quite large (up to 10,000 columns and tens of millions of rows).

integrationMicrosoft SQL node
Microsoft SQL

SQL Server is database management system developed by Microsoft. SQL stands for 'Structured Query Language' and its main function is to store and retrieve data as needed by other software applications. It remains one of the most used databases in the world.

Use case

Save engineering resources

Reduce time spent on customer integrations, engineer faster POCs, keep your customer-specific functionality separate from product all without having to code.

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Google BigQuery and Microsoft SQL integration tutorials

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  • Tutorial

Export data from SQL database to CSV: 3 nifty techniques

Export your SQL data into CSV with 3 nifty techniques: using SQL Server Management Studio, sqlcmd command line utility and n8n automation tool.

FAQs

  • Can Google BigQuery connect with Microsoft SQL?

  • Can I use Google BigQuery’s API with n8n?

  • Can I use Microsoft SQL’s API with n8n?

  • Is n8n secure for integrating Google BigQuery and Microsoft SQL?

  • How to get started with Google BigQuery and Microsoft SQL integration in n8n.io?

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Why use n8n to integrate Google BigQuery with Microsoft SQL

Build complex workflows, really fast

Build complex workflows, really fast

Handle branching, merging and iteration easily.
Pause your workflow to wait for external events.

Code when you need it, UI when you don't

Simple debugging

Your data is displayed alongside your settings, making edge cases easy to track down.

Use templates to get started fast

Use 1000+ workflow templates available from our core team and our community.

Reuse your work

Copy and paste, easily import and export workflows.

Implement complex processes faster with n8n

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