Amazon Kinesis is the correct answer because it is specifically designed to handle massive streams of data in real time. Kinesis enables you to easily collect, process, and analyze streaming data so you can get timely insights and react quickly to new information. AWS DataSync is used for data transfer between on-premises storage and AWS storage services, and AWS Glue is primarily a data extraction, transformation, and loading (ETL) service. While AWS Lake Formation is involved in data lake creation and governance, it is not specialized for real-time streaming data.
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What are the main components of Amazon Kinesis?
How does Kinesis compare with AWS Glue for data processing?
What types of use cases are best suited for Amazon Kinesis?