A company is moving petabyte-scale on-premises workloads that use Apache Pig, Oozie, Spark, HBase, and Flink to AWS and wants lower operational overhead and serverless options while keeping equal or better performance. Which ETL service should they choose?

Amazon EMR is the best choice because it supports a wide range of big data frameworks, including Apache Pig, Oozie, Spark, HBase, and Flink, which are currently used by the company. This allows for a more straightforward migration of existing workloads. While EMR is not fully serverless, it offers managed clusters that significantly reduce operational overhead compared to self-managing these frameworks on-premises. AWS Glue is a serverless ETL service but may require significant re-engineering for existing Pig, Oozie, HBase, and Flink workloads. AWS Lambda is a serverless compute service suitable for event-driven, short-running tasks, not petabyte-scale ETL with these specific frameworks. Amazon Redshift is a data warehouse service, not an ETL tool for processing raw big data with these Apache frameworks.