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

ActiveMQ vs Amazon MQ

OverviewDecisionsComparisonAlternatives

Overview

ActiveMQ
ActiveMQ
Stacks879
Followers1.3K
Votes77
GitHub Stars2.4K
Forks1.5K
Amazon MQ
Amazon MQ
Stacks55
Followers325
Votes12

ActiveMQ vs Amazon MQ: What are the differences?

Introduction

ActiveMQ and Amazon MQ are both messaging services that provide reliable and scalable messaging solutions to businesses. However, there are several key differences between the two that make them suitable for different use cases. In this article, we will explore six key differences between ActiveMQ and Amazon MQ.

  1. Managed Service vs. Self-Managed: One of the main differences between ActiveMQ and Amazon MQ is that Amazon MQ is a managed service provided by Amazon Web Services (AWS), while ActiveMQ requires self-management. With Amazon MQ, AWS takes care of the underlying infrastructure and maintains the service, allowing users to focus on their messaging applications. ActiveMQ, on the other hand, requires users to set up and manage their own instances and infrastructure.

  2. Integration with AWS ecosystem: Being an AWS service, Amazon MQ seamlessly integrates with other AWS services such as AWS Lambda, AWS CloudFormation, and Amazon CloudWatch. This allows users to easily incorporate messaging capabilities into their existing AWS infrastructure. ActiveMQ does not have this level of integration with AWS services, requiring users to set up custom integration solutions if needed.

  3. Protocol Support: ActiveMQ supports a wide range of protocols, including Stomp, MQTT, AMQP, OpenWire, and more. This makes it highly versatile and suitable for different messaging scenarios. Amazon MQ primarily supports the industry-standard messaging protocols of MQTT and AMQP, which may be sufficient for most use cases but may not offer the same level of flexibility as ActiveMQ.

  4. Scalability and Performance: Both ActiveMQ and Amazon MQ offer horizontal scalability, allowing users to add more instances to handle increasing message traffic. However, Amazon MQ, being a managed service in the AWS ecosystem, benefits from the scalability and performance optimizations provided by AWS. These optimizations can result in better overall scalability and performance compared to self-managed ActiveMQ instances.

  5. Pricing Model: ActiveMQ follows an open-source model and is free to use. However, users are responsible for the costs associated with infrastructure and instance management. Amazon MQ, being an AWS managed service, follows a pay-as-you-go pricing model. Users are billed for the number of broker instances they use and the amount of data transferred. While this may result in additional costs compared to self-managed ActiveMQ instances, it also provides the convenience of not having to worry about infrastructure management.

  6. Support and Documentation: With Amazon MQ being an AWS service, users have access to AWS support and extensive documentation. This can be valuable in troubleshooting issues and getting assistance when needed. ActiveMQ, being an open-source project, relies more on community support and documentation, which may not be as comprehensive or accessible as that of a managed service like Amazon MQ.

In summary, the key differences between ActiveMQ and Amazon MQ lie in the level of management and integration with AWS services, protocol support, scalability and performance, pricing model, and support/documentation. While ActiveMQ offers more flexibility and is free to use, Amazon MQ provides the convenience of a managed service within the AWS ecosystem, which may be more suitable for businesses relying heavily on AWS services.

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Advice on ActiveMQ, 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

ActiveMQ
ActiveMQ
Amazon MQ
Amazon MQ

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.

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.

Protect your data & Balance your Load; Easy enterprise integration patterns; Flexible deployment
-
Statistics
GitHub Stars
2.4K
GitHub Stars
-
GitHub Forks
1.5K
GitHub Forks
-
Stacks
879
Stacks
55
Followers
1.3K
Followers
325
Votes
77
Votes
12
Pros & Cons
Pros
  • 18
    Easy to use
  • 14
    Open source
  • 13
    Efficient
  • 10
    JMS compliant
  • 6
    High Availability
Cons
  • 1
    Low resilience to exceptions and interruptions
  • 1
    ONLY Vertically Scalable
  • 1
    Support
  • 1
    Difficult to scale
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
No integrations available
AWS IAM
AWS IAM
Amazon CloudWatch
Amazon CloudWatch

What are some alternatives to ActiveMQ, 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.

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.

IronMQ

IronMQ

An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

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