Which Amazon service is best known for being a scalable and low-cost streaming data solution?

The best-known service for scalable and low-cost streaming data solutions is Amazon Kinesis Data Streams. This service allows users to collect, process, and analyze real-time streaming data with minimal latency. It is designed to handle large amounts of data from a variety of sources, making it particularly useful for applications that require fast data processing, such as real-time analytics, log and event data collection, and stream processing.

Kinesis Data Streams dynamically scales to accommodate varying amounts of incoming data, enabling organizations to adjust their data processing capabilities based on current workloads. The service allows for a high degree of parallel processing, leveraging multiple consumers to read and process streaming data efficiently. This makes it particularly effective for applications that need to respond quickly to changing data conditions.

Contrasting with the other services, Amazon Kinesis Data Firehose is also a good choice for streaming data, but it primarily focuses on loading streaming data into data lakes, data stores, or analytics services, rather than providing a platform for real-time processing of the streams themselves. AWS Glue is more focused on data preparation, ETL (extract, transform, load) processes, and managing the data lake environment rather than real-time data streaming. Amazon EC2 is primarily a virtual server hosting service and is not specialized for