
AWS Glue for Apache Spark now offers native Snowflake connectivity with visual ETL capabilities in AWS Glue Studio, enabling developers to read and write Snowflake data without managing connector libraries.


<div><p>This article announces the general availability of native Snowflake connectivity for AWS Glue for Apache Spark, enabling seamless data integration without managing connector libraries.</p><ul><li>AWS Glue now supports native connectivity to Snowflake for reading and writing data</li><li>No need to install or manage Snowflake connector libraries</li><li>AWS Glue Studio adds visual ETL capabilities for Snowflake sources and targets</li><li>Developers can choose Snowflake tables as direct sources or use custom SQL queries</li><li>Target operations support drop, truncate, upsert, create, and merge commands</li><li>Available in all commercial AWS Regions where AWS Glue is available</li></ul><p>This release simplifies ETL development by providing native Snowflake integration with visual, no-code capabilities in AWS Glue Studio.</p></div>


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