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  1. Stackups
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  4. Message Queue
  5. Amazon MQ vs EMQ

Amazon MQ vs EMQ

OverviewDecisionsComparisonAlternatives

Overview

EMQX
EMQX
Stacks34
Followers109
Votes6
GitHub Stars15.4K
Forks2.4K
Amazon MQ
Amazon MQ
Stacks55
Followers325
Votes12

Amazon MQ vs EMQ: What are the differences?

# Introduction
This Markdown code provides a comparison between Amazon MQ and EMQ highlighting the key differences between the two messaging services.

1. **Deployment Options**: Amazon MQ is a managed message broker service that is fully managed by AWS, offering support for RabbitMQ and ActiveMQ, while EMQ is an open-source MQTT broker that can be self-hosted or deployed on a cloud platform as per the user's requirements.

2. **Protocol Support**: Amazon MQ supports multiple messaging protocols like AMQP, MQTT, OpenWire, and STOMP, providing flexibility for different application integration needs. On the other hand, EMQ primarily focuses on MQTT protocol support, making it an ideal choice for IoT and real-time messaging applications.

3. **Scalability and Performance**: Amazon MQ offers a highly scalable and reliable messaging infrastructure with built-in failover, high availability, and on-demand scaling capabilities. EMQ, being open-source, allows users to customize and optimize the performance based on their specific use cases and requirements.

4. **Pricing Model**: Amazon MQ follows a pay-as-you-go pricing model based on the broker instance size and usage metrics, with additional charges for data transfer and storage. EMQ, being open-source, is free to use and can be deployed on a variety of platforms without incurring any licensing costs, making it a cost-effective option for users.

5. **Enterprise Support and SLA**: Amazon MQ provides enterprise-grade support and service level agreements (SLAs) backed by AWS, ensuring high availability, reliability, and consistent performance. In contrast, EMQ relies on community support and may not offer the same level of dedicated support or guaranteed SLAs for users.

In Summary, this Markdown code highlights the key differences between Amazon MQ and EMQ, focusing on deployment options, protocol support, scalability, performance, pricing models, and enterprise support. 

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Advice on EMQX, Amazon MQ

MITHIRIDI
MITHIRIDI

Software Engineer at LightMetrics

May 8, 2020

Needs adviceonAmazon SQSAmazon SQSAmazon MQAmazon 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.

303k views303k
Comments

Detailed Comparison

EMQX
EMQX
Amazon MQ
Amazon MQ

EMQX is a cloud-native, MQTT-based, IoT messaging platform designed for high reliability and massive scale. Licensed under the Apache Version 2.0, EMQX is 100% compliant with MQTT 5.0 and 3.x standard protocol specifications.

Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud.

Scale to 100 million concurrent MQTT connections with a single EMQX 5.0 cluster./Licensed under the Apache Version 2.0, 100% compliant with MQTT 5.0 and 3.x standard protocol specifications for better scalability, security, and reliability./Move and process millions of MQTT messages per second in a single broker./Guarantee sub-millisecond latency in message delivery with the soft real-time runtime./Achieve high availability and horizontal scalability with a masterless distributed architecture./Easy to deploy on-premises and in public clouds with Kubernetes Operator and Terraform.
-
Statistics
GitHub Stars
15.4K
GitHub Stars
-
GitHub Forks
2.4K
GitHub Forks
-
Stacks
34
Stacks
55
Followers
109
Followers
325
Votes
6
Votes
12
Pros & Cons
Pros
  • 3
    QoS 2
  • 2
    Clusters
  • 1
    Plugins
Pros
  • 7
    Supports low IQ developers
  • 3
    Supports existing protocols (JMS, NMS, AMQP, STOMP, …)
  • 2
    Easy to migrate existing messaging service
Cons
  • 4
    Slow AF
Integrations
Linux
Linux
Cassandra
Cassandra
Kafka
Kafka
MongoDB
MongoDB
AWS IAM
AWS IAM
Amazon CloudWatch
Amazon CloudWatch
ActiveMQ
ActiveMQ

What are some alternatives to EMQX, Amazon MQ?

Kafka

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

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

Celery

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.

Amazon SQS

Amazon SQS

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.

NSQ

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.

ActiveMQ

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Memphis

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

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