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

MQTT vs ZeroMQ

OverviewComparisonAlternatives

Overview

ZeroMQ
ZeroMQ
Stacks258
Followers586
Votes71
GitHub Stars10.6K
Forks2.5K
MQTT
MQTT
Stacks635
Followers577
Votes7

MQTT vs ZeroMQ: What are the differences?

Both MQTT and ZeroMQ are messaging protocols used in the field of Internet of Things (IoT) and distributed systems. Let's explore the key differences between them.

  1. Protocol Structure and Design: MQTT (Message Queuing Telemetry Transport) is a lightweight messaging protocol designed for constrained devices and low-bandwidth, high-latency network connections. It follows a publish-subscribe messaging pattern and is built on top of the TCP/IP protocol. In contrast, ZeroMQ is a high-performance messaging library that provides socket-like messaging patterns. It emphasizes the building of fast and scalable distributed architectures.

  2. Message Reliability and QoS Levels: MQTT offers multiple levels of Quality of Service (QoS) to ensure reliable message delivery. These levels range from QoS 0 (at most once) to QoS 2 (exactly once), offering different trade-offs between message delivery speed and reliability. ZeroMQ, on the other hand, does not provide built-in message reliability or QoS guarantees. It is designed for high-speed, low-latency messaging where reliability can be implemented at the application layer if needed.

  3. Broker vs Brokerless: MQTT relies on a central message broker that handles the routing and delivery of messages between publishers and subscribers. The broker acts as an intermediary, storing messages and forwarding them to the intended recipients. ZeroMQ, in contrast, is a brokerless messaging framework where message sending and receiving are directly performed between the participating nodes. There is no central broker involved, which can result in more decentralized and scalable architectures.

  4. Transport Protocols: MQTT is built on top of the TCP/IP protocol, which provides reliable and ordered message delivery over the network. It ensures that messages are delivered in the order they were sent, which is crucial for certain applications. On the other hand, ZeroMQ supports various transport protocols, including TCP, PGM (Pragmatic General Multicast), and IPC (Inter-Process Communication). This flexibility allows ZeroMQ to be used in different network environments, including local and distributed systems.

  5. Message Size and Payload: MQTT imposes a limit on the maximum message size that can be sent, typically ranging from a few kilobytes to a few megabytes. This is due to its focus on constrained devices with limited resources. In contrast, ZeroMQ has no predefined maximum message size limit and can handle larger payloads. This makes ZeroMQ more suitable for applications that deal with large data transfers, such as multimedia streaming or big data processing.

  6. Ease of Use and Language Support: MQTT has a well-defined and standardized protocol specification, making it easier to implement and integrate into existing systems. It has extensive language support, with client libraries available in various programming languages. ZeroMQ, while not as standardized, provides a more flexible and lightweight messaging framework. It offers language bindings for many popular programming languages, allowing developers to choose the language that best fits their application requirements.

In summary, MQTT is a lightweight messaging protocol built on TCP/IP and designed for constrained devices. It provides QoS levels for reliable message delivery and relies on a central message broker. ZeroMQ, on the other hand, is a high-performance messaging library that supports various transport protocols and emphasizes decentralization. It does not provide built-in message reliability or QoS guarantees but offers greater flexibility and scalability.

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Detailed Comparison

ZeroMQ
ZeroMQ
MQTT
MQTT

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.

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.

Connect your code in any language, on any platform.;Carries messages across inproc, IPC, TCP, TPIC, multicast.;Smart patterns like pub-sub, push-pull, and router-dealer.;High-speed asynchronous I/O engines, in a tiny library.;Backed by a large and active open source community.;Supports every modern language and platform.;Build any architecture: centralized, distributed, small, or large.;Free software with full commercial support.
-
Statistics
GitHub Stars
10.6K
GitHub Stars
-
GitHub Forks
2.5K
GitHub Forks
-
Stacks
258
Stacks
635
Followers
586
Followers
577
Votes
71
Votes
7
Pros & Cons
Pros
  • 23
    Fast
  • 20
    Lightweight
  • 11
    Transport agnostic
  • 7
    No broker required
  • 4
    Low latency
Cons
  • 5
    No message durability
  • 3
    Not a very reliable system - message delivery wise
  • 1
    M x N problem with M producers and N consumers
Pros
  • 3
    Varying levels of Quality of Service to fit a range of
  • 2
    Lightweight with a relatively small data footprint
  • 2
    Very easy to configure and use with open source tools
Cons
  • 1
    Easy to configure in an unsecure manner

What are some alternatives to ZeroMQ, 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.

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.

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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