Which AWS service can be used for data warehousing?

Amazon Redshift is a fully managed data warehousing service designed for performing complex queries and analyzing large datasets. It utilizes a columnar storage architecture and is optimized for fast retrieval of data, making it suitable for handling large-scale analytics workloads.

Redshift enables users to run complex analytical queries across petabytes of structured and semi-structured data. Its capabilities include support for standard SQL, integration with various BI tools, and the ability to scale up or down based on your workload requirements. The service is also built to seamlessly handle massive volumes of data and provide impressive performance by distributing the data across multiple nodes in a cluster.

In contrast, while Amazon RDS is a managed relational database service that can handle transactional workloads, it is not specifically designed for data warehousing. Amazon S3 is an object storage service primarily used for storing and retrieving any amount of data but does not provide data warehouse functionality on its own. Amazon EC2 offers compute capacity in the cloud but does not focus on data warehousing features either.