# Connecting to Snowflake in AWS Glue Studio
<a name="connecting-to-data-snowflake"></a>

**Note**  
 You can use AWS Glue for Spark to read from and write to tables in Snowflake in AWS Glue 4.0 and later versions. To configure a Snowflake connection with AWS Glue jobs programatically, see [Redshift connections](aws-glue-programming-etl-connect-redshift-home.md). 

 AWS Glue provides built-in support for Snowflake. AWS Glue Studio provides a visual interface to connect to Snowflake, author data integration jobs, and run them on the AWS Glue Studio serverless Spark runtime. 

 AWS Glue Studio creates a unified connection for Snowflake. For more information, see [Considerations](using-connectors-unified-connections.md#using-connectors-unified-connections-considerations). 

**Topics**
+ [Creating a Snowflake connection](creating-snowflake-connection.md)
+ [Creating a Snowflake source node](creating-snowflake-source-node.md)
+ [Creating a Snowflake target node](creating-snowflake-target-node.md)
+ [Set up the Authorization Code flow for Snowflake](snowflake-setup-authorization-code-flow.md)
+ [Advanced options](#creating-snowflake-connection-advanced-options)

## Advanced options
<a name="creating-snowflake-connection-advanced-options"></a>

See [ Snowflake connections ](https://docs.aws.amazon.com//glue/latest/dg/aws-glue-programming-etl-connect-snowflake-home.html) in the AWS Glue developer guide.