Which AWS service can process big data in real-time while maintaining the order of records?

Amazon Kinesis Data Streams is the correct choice for processing big data in real-time while maintaining the order of records. This service is designed to handle high-throughput data streams, allowing you to collect and process large amounts of data continuously.

One of the key features of Kinesis Data Streams is its ability to preserve the order of records, which is vital for applications where the sequence of data events is important, such as financial transactions or live monitoring systems. Kinesis Data Streams allows developers to build applications that can read from these streams in real-time, ensuring that the data is processed in the order it was received.

In contrast, other services mentioned do not focus on maintaining record order in real-time data processing. For example, Amazon Kinesis Data Firehose is primarily a delivery service for loading streaming data into data lakes and analytics tools, but it does not guarantee the order of the records in its delivery. Amazon S3 is a storage service and does not provide capabilities for processing streaming data. Similarly, Amazon Pinpoint is tailored for user engagement and marketing campaigns rather than real-time data processing.

Thus, Kinesis Data Streams stands out as the ideal solution for real-time big data processing while maintaining the integrity and order of the data being processed.