Overview

Amazon SQS

Stacks2.8K

Followers2.0K

Votes171

XMPP

Stacks70

Followers138

Votes0

Amazon SQS vs XMPP: What are the differences?

Introduction

Amazon Simple Queue Service (SQS) and XMPP (Extensible Messaging and Presence Protocol) are both messaging protocols used in different contexts. However, there are key differences between these two protocols that make them suitable for specific use cases.

Message Distribution Pattern:
- Amazon SQS follows the message queueing pattern, where messages are stored in a queue and processed asynchronously by consumers.
- XMPP, on the other hand, follows the publish-subscribe pattern, where messages are published to a topic and delivered to all subscribed clients in real-time.
Message Persistence:
- Amazon SQS stores messages in its queues until they are explicitly deleted or until they expire. This ensures message durability and availability.
- XMPP does not have built-in persistence. Messages are delivered in real-time, and if a client is not available at the moment, the message will be lost.
Message Delivery Guarantee:
- Amazon SQS ensures at-least-once delivery of messages, which means a message is delivered to a consumer at least once, but it may be delivered multiple times in case of failures or retries.
- XMPP guarantees reliable and real-time delivery of messages to connected clients. Once a message is sent, it is immediately delivered to the intended recipients.
Message Format:
- Amazon SQS supports multiple message formats, including text, JSON, and binary data, allowing flexibility in data representation.
- XMPP primarily deals with XML-formatted messages, and while it can support other formats, it is mainly designed for XML-based communication.
Transport Protocol:
- Amazon SQS uses HTTP or HTTPS as the transport protocol, making it easily accessible over the internet.
- XMPP utilizes TCP as the transport protocol, which allows for reliable, low-latency communication but may require additional configuration and setup.
Scalability and Availability:
- Amazon SQS is a fully managed service provided by Amazon Web Services (AWS), ensuring high scalability and availability of message queues across different regions.
- XMPP requires deployment and configuration of XMPP servers, which may limit scalability and availability depending on the infrastructure setup.

In summary, Amazon SQS and XMPP differ in their message distribution pattern, message persistence, delivery guarantee, supported message formats, transport protocols, and scalability/availability characteristics. Understanding these differences is crucial in choosing the appropriate messaging protocol for specific use cases.

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Advice on Amazon SQS, XMPP

MITHIRIDI

Software Engineer at LightMetrics

May 8, 2020

Needs adviceon

Amazon SQS

Amazon MQ

I want to schedule a message. Amazon SQS provides a delay of 15 minutes, but I want it in some hours.

Example: Let's say a Message1 is consumed by a consumer A but somehow it failed inside the consumer. I would want to put it in a queue and retry after 4hrs. Can I do this in Amazon MQ? I have seen in some Amazon MQ videos saying scheduling messages can be done. But, I'm not sure how.

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Comments

Detailed Comparison

Amazon SQS	XMPP
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.	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.
A queue can be created in any region.;The message payload can contain up to 256KB of text in any format. Each 64KB ‘chunk’ of payload is billed as 1 request. For example, a single API call with a 256KB payload will be billed as four requests.;Messages can be sent, received or deleted in batches of up to 10 messages or 256KB. Batches cost the same amount as single messages, meaning SQS can be even more cost effective for customers that use batching.;Long polling reduces extraneous polling to help you minimize cost while receiving new messages as quickly as possible. When your queue is empty, long-poll requests wait up to 20 seconds for the next message to arrive. Long poll requests cost the same amount as regular requests.;Messages can be retained in queues for up to 14 days.;Messages can be sent and read simultaneously.;Developers can get started with Amazon SQS by using only five APIs: CreateQueue, SendMessage, ReceiveMessage, ChangeMessageVisibility, and DeleteMessage. Additional APIs are available to provide advanced functionality.	-
Statistics
Stacks 2.8K	Stacks 70
Followers 2.0K	Followers 138
Votes 171	Votes 0
Pros & Cons
Pros 62 Easy to use, reliable 40 Low cost 28 Simple 14 Doesn't need to maintain it 8 It is Serverless Cons 2 Has a max message size (currently 256K) 2 Difficult to configure 2 Proprietary 1 Has a maximum 15 minutes of delayed messages only	No community feedback yet
Integrations
No integrations available	Java Python JavaScript

What are some alternatives to Amazon SQS, XMPP?

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.