We recommend Amazon Kinesis Data Streams for use cases with requirements that are similar to the following: Q: When should I use Amazon Kinesis Data Streams, and when should I use Amazon SQS? Amazon SQS lets you easily move data between distributed application components and helps you build applications in which messages are processed independently (with message-level ack/fail semantics), such as automated workflows. The Kinesis Client Library (KCL) delivers all records for a given partition key to the same record processor, making it easier to build multiple applications reading from the same Kinesis stream (for example, to perform counting, aggregation, and filtering).Īmazon Simple Queue Service (Amazon SQS) offers a reliable, highly scalable hosted queue for storing messages as they travel between computers. It provides ordering of records, as well as the ability to read and/or replay records in the same order to multiple Kinesis Applications. Q: How does Amazon Kinesis Data Streams differ from Amazon SQS?Īmazon Kinesis Data Streams enables real-time processing of streaming big data.
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