AWS SQS Bucket

Amazon Simple Queue Service (SQS) is a fully managed message queuing service .

SQS eliminates the complexity and overhead associated with managing and operating message oriented middleware, and empowers developers to focus on differentiating work.

Using SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available. Get started with SQS in minutes using the AWS console, Command Line Interface or SDK of your choice, and three simple commands.

SQS offers two types of message queues.

  • Standard queues offer maximum throughput, best-effort ordering, and at-least-once delivery.
  • SQS FIFO queues are designed to guarantee that messages are processed exactly once, in the exact order that they are sent.

Q: How is Amazon SQS different from Amazon SNS?

Amazon SNS allows applications to send time-critical messages to multiple subscribers through a “push” mechanism, eliminating the need to periodically check or “poll” for updates.

Amazon SQS is a message queue service used by distributed applications to exchange messages through a polling model, and can be used to decouple sending and receiving components.

Q: How is Amazon SQS different from Amazon MQ?

If you’re using messaging with existing applications, and want to move your messaging to the cloud quickly and easily, recommendation is to consider Amazon MQ. It supports industry-standard APIs and protocols so you can switch from any standards-based message broker to Amazon MQ without rewriting the messaging code in your applications.

If you are building brand new applications in the cloud, we recommend you consider Amazon SQS and Amazon SNS. Amazon SQS and SNS are lightweight, fully managed message queue and topic services that scale almost infinitely and provide simple, easy-to-use APIs. 

NASA and BMW is one of the user of AWS SQS and SNS 🙂

Q: How is Amazon SQS different from Amazon Kinesis Streams?

Amazon Kinesis Streams allows real-time processing of streaming big data and the ability to read and replay records to multiple Amazon Kinesis Applications. The Amazon Kinesis Client Library (KCL) delivers all records for a given partition key to the same record processor, making it easier to build multiple applications that read from the same Amazon Kinesis stream (for example, to perform counting, aggregation, and filtering).

Q) What is the cost model of AWS SQS ?

Ans) Check it yourself