Which AWS service is designed to handle very large-scale data in a data warehouse environment?

Amazon Redshift is a fully managed, petabyte-scale data warehouse service designed for analytics. It's optimized for large-scale data sets and complex analytical queries, making it ideal for business intelligence and data warehousing applications. Amazon RDS (Relational Database Service) is for traditional relational databases (like MySQL, PostgreSQL) optimized for online transaction processing (OLTP), not large-scale analytical queries. Amazon DynamoDB is a NoSQL key-value and document database, excellent for high-performance, low-latency applications, but not a data warehouse. Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, offering high performance and availability for OLTP workloads, similar to RDS but not a data warehouse.