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  5. ActiveMQ vs IBM MQ

ActiveMQ vs IBM MQ

OverviewComparisonAlternatives

Overview

ActiveMQ
ActiveMQ
Stacks879
Followers1.3K
Votes77
GitHub Stars2.4K
Forks1.5K
IBM MQ
IBM MQ
Stacks118
Followers187
Votes11

ActiveMQ vs IBM MQ: What are the differences?

Introduction

ActiveMQ and IBM MQ are both messaging systems that provide reliable and scalable communication between applications. However, there are several key differences between these two messaging systems.

  1. Programming Languages Supported: ActiveMQ supports a wide range of programming languages including Java, C/C++, .NET, Ruby, and Python. On the other hand, IBM MQ primarily focuses on Java and .NET, with limited support for other languages.

  2. Messaging Models: ActiveMQ provides support for both peer-to-peer and publish-subscribe messaging models. It allows applications to send messages directly to specific recipients or broadcast messages to multiple subscribers. IBM MQ, on the other hand, primarily uses the publish-subscribe messaging model, where messages are published to topics and subscribers can receive messages from those topics.

  3. Administration and Management: ActiveMQ offers a web-based administration console that allows administrators to manage and monitor the messaging system easily. It provides features like visual queue management, message browsing, and configuration management. IBM MQ, on the other hand, provides a more comprehensive administration and management tool called MQ Explorer, which offers advanced features like security management, performance monitoring, and queue monitoring.

  4. Message Persistence: ActiveMQ stores messages in a persistence store, which can be a file-based or a database-based store. It provides options for both synchronous and asynchronous message persistence. IBM MQ, on the other hand, uses a high-performance message store that provides guaranteed message persistence and transactional support.

  5. Integration Capabilities: ActiveMQ supports integration with various Apache projects like Camel, CXF, and Karaf. It also provides support for integration with popular frameworks like Spring. IBM MQ, on the other hand, offers seamless integration with other IBM products and technologies like IBM Integration Bus (IIB), IBM App Connect, and IBM Integration Designer (IID).

  6. High Availability and Scalability: ActiveMQ supports high availability and scalability through features like network of brokers and message clustering. It allows multiple instances of ActiveMQ to form a cluster and distribute the load across the brokers. IBM MQ, on the other hand, provides built-in high availability and scalability features like queue managers and clustering, which ensure reliable message delivery and optimal performance in large-scale deployments.

In summary, ActiveMQ provides support for a wide range of programming languages, offers both peer-to-peer and publish-subscribe messaging models, and has a user-friendly web-based administration console. On the other hand, IBM MQ primarily focuses on Java and .NET, uses the publish-subscribe messaging model, and provides a comprehensive administration and management tool. Both messaging systems have different message persistence mechanisms, integration capabilities, and high availability and scalability features.

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Detailed Comparison

ActiveMQ
ActiveMQ
IBM MQ
IBM 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.

It is a messaging middleware that simplifies and accelerates the integration of diverse applications and business data across multiple platforms. It offers proven, enterprise-grade messaging capabilities that skillfully and safely move information.

Protect your data & Balance your Load; Easy enterprise integration patterns; Flexible deployment
Once-and-once-only delivery; Asynchronous messaging; Powerful protection; Simplified, smart management; Augmented security; Expanded client application options
Statistics
GitHub Stars
2.4K
GitHub Stars
-
GitHub Forks
1.5K
GitHub Forks
-
Stacks
879
Stacks
118
Followers
1.3K
Followers
187
Votes
77
Votes
11
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
  • 3
    Useful for big enteprises
  • 3
    Reliable for banking transactions
  • 2
    Secure
  • 1
    Broader connectivity - more protocols, APIs, Files etc
  • 1
    High Availability
Cons
  • 2
    Cost

What are some alternatives to ActiveMQ, IBM 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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