Which AWS service integrates well with Apache Spark for big data processing?

AWS Glue is designed specifically for big data processing and integrates seamlessly with Apache Spark. It is a fully managed extract, transform, and load (ETL) service that allows you to easily prepare and load data for analytics. AWS Glue provides a serverless environment where you can run Spark jobs without worrying about managing the infrastructure, which streamlines the development and deployment processes for data processing tasks.

The integration with Apache Spark enables users to leverage its powerful data processing capabilities, allowing for efficient handling of large datasets. Additionally, AWS Glue automates the data preparation tasks, such as schema discovery and data cataloging, making it easier to work with big data solutions.

In contrast, the other services listed do not provide the same level of direct integration with Apache Spark for big data processing tasks. AWS RDS is a relational database service primarily used for structured data storage, AWS DynamoDB is a NoSQL database optimized for high availability, and AWS Lambda is a serverless compute service mainly used for running code in response to events rather than large-scale data processing.