Which service enables real-time processing of streaming big data and maintains order of records?

The correct answer is Amazon Kinesis Data Streams, which is specifically designed for processing streaming big data in real-time. One of its key features is the ability to maintain the order of records within a stream, making it suitable for applications that require ordered data handling. This is particularly important for use cases like event logging or transaction processing, where the sequence of events is crucial for accuracy and meaningful analysis.

Kinesis Data Streams allows data producers to send records into a stream, which can then be processed by consumers in real-time. The system is built to scale, allowing for handling of large volumes of streaming data without losing the order of records, which is a significant advantage in environments that rely on ordered data for analytics or operational decisions.

Other options, while related to data processing and event handling, do not provide the same capabilities for real-time streaming data and ordering. For example, Kinesis Data Firehose is more focused on delivering streaming data to storage destinations and does not guarantee order. Meanwhile, Amazon SQS is primarily a message queuing service, suitable for decoupling components of applications but does not maintain order in the same way Kinesis Data Streams does. Amazon EventBridge is designed for event-driven architectures and routing events, but it is not specifically tailored