What service is designed for discovering, preparing, moving, and integrating data from multiple sources?

AWS Glue is designed specifically for discovering, preparing, moving, and integrating data from multiple sources. It is a fully managed ETL (Extract, Transform, Load) service that simplifies the process of data preparation for analytics. With AWS Glue, users can create and run ETL jobs that automatically discover data stored in various locations, such as Amazon S3, databases, and other data stores. The service has built-in capabilities to crawl and catalog data, allowing users to understand the structure and meaning of the data.

AWS Glue's serverless architecture means that users do not need to provision any infrastructure for running their ETL jobs, which makes it highly scalable and cost-effective. Furthermore, it supports a variety of data sources and formats, enhancing its capability to integrate data from disparate systems seamlessly.

In contrast, Amazon Kinesis Data Firehose primarily focuses on real-time data streaming and delivery to storage services, while Amazon EMR is a managed Hadoop framework for processing large datasets using frameworks such as Apache Spark. Amazon EC2 provides virtualization and compute resources but does not specialize in data integration or preparation tasks. Therefore, AWS Glue is the ideal choice for efficiently handling the complexities of data integration from multiple sources.