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  1. Stackups
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  4. Message Queue
  5. ActiveMQ vs MQTT

ActiveMQ vs MQTT

OverviewComparisonAlternatives

Overview

ActiveMQ
ActiveMQ
Stacks879
Followers1.3K
Votes77
GitHub Stars2.4K
Forks1.5K
MQTT
MQTT
Stacks635
Followers577
Votes7

ActiveMQ vs MQTT: What are the differences?

Key Differences between ActiveMQ and MQTT

Introduction: ActiveMQ and MQTT are both popular messaging protocols used in distributed systems. While both are designed for efficient messaging, there are significant differences between the two.

  1. Messaging Patterns: ActiveMQ supports multiple messaging patterns, including publish/subscribe, request/reply, and point-to-point, making it versatile for different use cases. On the other hand, MQTT primarily supports the publish/subscribe pattern, which is well-suited for lightweight and scalable IoT applications.

  2. Message Size: ActiveMQ is generally used for handling larger messages, as it supports messages up to 100 MB in size. In contrast, MQTT is designed for smaller messages and imposes limitations on message size, typically up to 256 KB. This restriction ensures efficient network utilization in resource-constrained environments.

  3. Protocol Overhead: ActiveMQ uses the OpenWire protocol, which is more verbose and has a higher protocol overhead compared to MQTT. MQTT utilizes a lightweight binary protocol, minimizing the network bandwidth required for communication, making it ideal for low-power devices and limited network bandwidth scenarios.

  4. Quality of Service (QoS): ActiveMQ offers a range of QoS options, including at-most-once, at-least-once, and exactly-once delivery. This flexibility enables more control over message reliability but may come with added complexity in configuration. MQTT, on the other hand, provides three standard levels of QoS: QoS 0 (at-most-once), QoS 1 (at-least-once), and QoS 2 (exactly-once), making it simpler but offering fewer options.

  5. Authentication and Security: ActiveMQ provides various authentication mechanisms, such as username/password-based authentication and integration with external security systems. It also supports features like message encryption and digital signing. MQTT offers basic authentication and security features, but it may require additional layers of security, such as TLS/SSL, to ensure secure communication.

  6. Brokers and Scalability: ActiveMQ requires a broker-based architecture, where a centralized message broker manages communication between sender and receiver. This architecture may introduce a single point of failure and limit scalability. On the other hand, MQTT is designed with a lightweight broker model, enabling a decentralized and scalable approach, making it more suitable for large-scale and geographically distributed systems.

In summary, ActiveMQ is a versatile messaging system that supports various messaging patterns and larger message sizes, while MQTT is designed for lightweight and scalable messaging, primarily focusing on the publish/subscribe pattern and smaller message sizes. ActiveMQ offers more advanced features and flexibility in messaging, while MQTT provides a lightweight and efficient protocol for resource-constrained environments with low network bandwidth.

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Detailed Comparison

ActiveMQ
ActiveMQ
MQTT
MQTT

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 was designed as an extremely lightweight publish/subscribe messaging transport. It is useful for connections with remote locations where a small code footprint is required and/or network bandwidth is at a premium.

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
635
Followers
1.3K
Followers
577
Votes
77
Votes
7
Pros & Cons
Pros
  • 18
    Easy to use
  • 14
    Open source
  • 13
    Efficient
  • 10
    JMS compliant
  • 6
    High Availability
Cons
  • 1
    ONLY Vertically Scalable
  • 1
    Difficult to scale
  • 1
    Support
  • 1
    Low resilience to exceptions and interruptions
Pros
  • 3
    Varying levels of Quality of Service to fit a range of
  • 2
    Very easy to configure and use with open source tools
  • 2
    Lightweight with a relatively small data footprint
Cons
  • 1
    Easy to configure in an unsecure manner

What are some alternatives to ActiveMQ, MQTT?

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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