Amazon SQS vs XMPP: What are the differences?
Developers describe Amazon SQS as "Fully managed message queuing service". Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use. On the other hand, XMPP is detailed as "An open XML technology for real-time communication". It is a set of open technologies for instant messaging, presence, multi-party chat, voice and video calls, collaboration, lightweight middleware, content syndication, and generalized routing of XML data.
Amazon SQS can be classified as a tool in the "Message Queue" category, while XMPP is grouped under "Container Tools".
Medium, Lyft, and Coursera are some of the popular companies that use Amazon SQS, whereas XMPP is used by Mendix, Vidyo.io, and Relayo. Amazon SQS has a broader approval, being mentioned in 497 company stacks & 402 developers stacks; compared to XMPP, which is listed in 7 company stacks and 5 developer stacks.
What is Amazon SQS?
What is XMPP?
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In the beginning we thought we wanted to start using something like RabbitMQ or maybe Kafka or maybe ActiveMQ. Back then we only had a few developers and no ops people. That has changed now, but we didn't really look forward to setting up a queuing cluster and making sure that all works.
What we did instead was we looked at what services Amazon offers to see if we can use those to build our own messaging system within those services. That's basically what we did. We wrote some clients in Ruby that can basically do the entire orchestration for us, and we run all our messaging on both SNS and SQS. Basically what you can do in Amazon services is you can use Amazon Simple Notification Service, so SNS, for creating topics and you can use queues to subscribe to these topics. That's basically all you need for a messaging system. You don't have to worry about scalability at all. That's what really appealed to us.
This isn't exactly low-latency (10s to 100s of milliseconds), but it has good throughput and a simple API. There is good reliability, and there is no configuration necessary to get up and running. A hosted queue is important when trying to move fast.
SQS is the bridge between our new Lambda services and our incumbent Rails applications. Extremely easy to use when you're already using other AWS infrastructure.
Primary message queue. Enqueueing operations revert to a local file-system-based queue when SQS is unavailable.