Which Amazon service facilitates the management and analysis of large datasets through SQL?

The correct choice is Amazon Athena, which is designed specifically for querying large datasets stored in Amazon S3 using standard SQL syntax. It operates on the principle of serverless architecture, allowing users to analyze data without the need to set up or manage infrastructure. Athena can process a wide variety of data formats, including CSV, JSON, ORC, and Parquet, making it versatile for different use cases. This service is ideal for quick ad-hoc querying of large data sets, enabling analysts and data scientists to gain insights without the overhead of maintaining a traditional database or data warehouse.

Amazon Redshift, while also capable of SQL querying, is primarily a managed data warehouse service intended for OLAP (Online Analytical Processing) workloads. It requires more setup and management, such as provisioning clusters, which contrasts with the serverless and on-demand nature of Athena.

Amazon DynamoDB is a fully managed NoSQL database service that supports key-value and document data structures. It does not provide native SQL querying capabilities like Athena does, as it is intended for high-availability, low-latency scenarios rather than massive data analytics.

Amazon DocumentDB is another managed service focusing on document-oriented databases, primarily supporting MongoDB workloads. While it offers SQL-like querying capabilities, it's not