Extract Transform & Load Snowflake data to Google BigQuery without code

Extract, Transform & Load Snowflake data, in minutes, for free, with our reliable & scalable pre-built integrations.

Transform your data to an analytics ready format with post load transformations.

Use a DataChannel managed Google BigQuery data warehouse and reduce your administrative overheads.

Read the Snowflake documentation here →

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Get Setup in Minutes

Integrate Snowflake with Google BigQuery in minutes

Enter your Snowflake credentials

Select a predefined report or specific data to extract from

Select Google BigQuery as your target and start loading your data

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Why choose DataChannel for your Snowflake and Google BigQuery data integration

Granular control over pipeline configuration
Advanced scheduling options
Automated handling of source schema changes
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About Snowflake

The Snowflake Data Cloud that helps eliminate the complexity, cost, and constraints inherent with other solutions. Available on all three major clouds, Snowflake supports a wide range of workloads, such as data warehousing, data lakes, and data science.

Learn more about Snowflake API documentation.

Choose what data you would like to move from Snowflake

Custom Query

This pipeline can be used to request and retrieve data from the database based on a custom query entered by the user.

Table/View

This pipeline can be used to request and retrieve data from the database based on a table/view and/or columns chosen by

Learn more about what data can be integrated into your data warehouse using DataChannel in the documentation here.

Steps to Integrate Snowflake with Google BigQuery using DataChannel

  1. From the DataSources section select Snowflake as the data source.
  2. Select your added BigQuery data warehouse as the data destination. If you have not yet added a data warehouse, go to Data Warehouse tab and add a warehouse.
  3. Authorize DataChannel to connect to your Snowflake warehouse using the + icon with your database details.
  4. Click on + Data Pipeline to start adding data pipelines to your account.

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