Snowpark Connect for Spark enables developers to run their Spark workloads directly to Snowflake using the Spark Connect protocol. This approach decouples the client and server, allowing Spark code to run remotely against Snowflake's compute engine without managing a Spark cluster. It offers a streamlined way to integrate Snowflake's governance, security, and scalability into Spark-based workflows, supporting a familiar PySpark experience with pushdown optimizations into Snowflake