Introducing Snowpark Connect for Apache Spark™, now in Public Preview. Building on the decoupled architecture of Spark Connect, Snowpark Connect allows you to run all your compatible Spark SQL, DataFrame, and UDF code directly on the Snowflake platform. This means you get the best of both worlds: the power of Snowflake's vectorized engine combined with the familiarity of your existing Spark code. Experience faster performance and cost savings compared to managed Spark, as Snowflake automatically handles all performance tuning and scaling. This frees your developers from operational overhead and establishes robust, unified governance upstream. Plus, it works seamlessly with Apache Iceberg tables for your open lakehouse initiatives. Accelerate development, lower costs, and simplify your data pipelines: