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

Gearman vs MQTT

OverviewComparisonAlternatives

Overview

Gearman
Gearman
Stacks77
Followers144
Votes45
MQTT
MQTT
Stacks635
Followers577
Votes7

Gearman vs MQTT: What are the differences?

Introduction

Gearman and MQTT are two distinct technologies commonly used in the realm of distributed systems and messaging. Key differences exist between these two systems that impact their use cases and functionalities.

  1. Communication Protocol: Gearman utilizes a client/server model with TCP-based communication between clients and workers, allowing for distributed processing of tasks. In contrast, MQTT is a publish/subscribe messaging protocol based on the lightweight, event-driven MQTT protocol, facilitating real-time messaging between clients.

  2. Use Case: Gearman is primarily used for distributing tasks across multiple machines in a network, providing a framework for parallel computing and load balancing. On the other hand, MQTT is ideal for scenarios requiring real-time communication and data exchange, such as IoT devices, sensor networks, and mobile applications.

  3. QoS Levels: MQTT supports three levels of Quality of Service (QoS) for message delivery - 0, 1, and 2, offering varying levels of reliability. Gearman, however, does not have built-in support for different QoS levels as it focuses on task distribution and execution.

  4. Message Format: In Gearman, tasks are submitted as jobs with defined workloads, making it suitable for discrete computing tasks with structured inputs and outputs. MQTT allows for the transmission of messages in a lightweight, flexible format, making it adaptable to diverse data types and payloads.

  5. Scalability: Gearman's architecture allows for easy scaling by adding more workers to handle an increased workload, making it a suitable choice for expanding computing capabilities. MQTT's pub/sub model enables horizontal scaling by adding more brokers to manage a growing number of clients and messages in a distributed system.

  6. Persistence: MQTT supports persistent messaging, ensuring that messages are stored and delivered to subscribers even if they are offline during publication. Gearman, focused on task execution, does not inherently provide persistent storage or message buffering capabilities for tasks.

In Summary, Gearman and MQTT differ in their communication protocols, use cases, QoS levels, message formats, scalability options, and persistence features, catering to distinct requirements in distributed computing and real-time messaging applications.

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Detailed Comparison

Gearman
Gearman
MQTT
MQTT

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.

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.

Open Source It’s free! (in both meanings of the word) Gearman has an active open source community that is easy to get involved with if you need help or want to contribute. Worried about licensing? Gearman is BSD;Multi-language - There are interfaces for a number of languages, and this list is growing. You also have the option to write heterogeneous applications with clients submitting work in one language and workers performing that work in another;Flexible - You are not tied to any specific design pattern. You can quickly put together distributed applications using any model you choose, one of those options being Map/Reduce;Fast - Gearman has a simple protocol and interface with an optimized, and threaded, server written in C/C++ to minimize your application overhead;Embeddable - Since Gearman is fast and lightweight, it is great for applications of all sizes. It is also easy to introduce into existing applications with minimal overhead;No single point of failure - Gearman can not only help scale systems, but can do it in a fault tolerant way;No limits on message size - Gearman supports single messages up to 4gig in size. Need to do something bigger? No problem Gearman can chunk messages;Worried about scaling? - Don’t worry about it with Gearman. Craig’s List, Tumblr, Yelp, Etsy,… discover what others have known for years.
-
Statistics
Stacks
77
Stacks
635
Followers
144
Followers
577
Votes
45
Votes
7
Pros & Cons
Pros
  • 11
    Free
  • 11
    Ease of use and very simple APIs
  • 6
    Polyglot
  • 5
    No single point of failure
  • 3
    High-throughput
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 Gearman, 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.

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.

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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