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

EMQ vs ZeroMQ

OverviewComparisonAlternatives

Overview

ZeroMQ
ZeroMQ
Stacks258
Followers586
Votes71
GitHub Stars10.6K
Forks2.5K
EMQX
EMQX
Stacks34
Followers109
Votes6
GitHub Stars15.4K
Forks2.4K

EMQ vs ZeroMQ: What are the differences?

Introduction:

1. Scalability: EMQ is designed for horizontal scalability with support for clustering, while ZeroMQ relies on a single process for each endpoint, making it less suitable for large-scale deployments.

2. Protocol Support: EMQ supports a wide range of protocols including MQTT, CoAP, and LwM2M, while ZeroMQ primarily focuses on the ZeroMQ protocol for messaging.

3. Architecture: EMQ is built on a modular architecture with a scalable message broker at its core, whereas ZeroMQ is a lightweight messaging library that requires users to build their own messaging patterns on top of it.

4. Features: EMQ offers advanced features such as message queue management, fine-grained access control, and real-time data processing, which are not as prominently featured in ZeroMQ.

5. Language Support: ZeroMQ provides language bindings for multiple programming languages including C++, Python, and Java, while EMQ primarily focuses on its core implementation without extensive language support.

6. Community and Ecosystem: ZeroMQ has a large and active community with a rich ecosystem of third-party tools and libraries, while EMQ may have a smaller community presence with fewer resources available for support and development.

In Summary, the key differences between EMQ and ZeroMQ lie in scalability, protocol support, architecture, features, language support, and community ecosystem.

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Detailed Comparison

ZeroMQ
ZeroMQ
EMQX
EMQX

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.

EMQX is a cloud-native, MQTT-based, IoT messaging platform designed for high reliability and massive scale. Licensed under the Apache Version 2.0, EMQX is 100% compliant with MQTT 5.0 and 3.x standard protocol specifications.

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.
Scale to 100 million concurrent MQTT connections with a single EMQX 5.0 cluster./Licensed under the Apache Version 2.0, 100% compliant with MQTT 5.0 and 3.x standard protocol specifications for better scalability, security, and reliability./Move and process millions of MQTT messages per second in a single broker./Guarantee sub-millisecond latency in message delivery with the soft real-time runtime./Achieve high availability and horizontal scalability with a masterless distributed architecture./Easy to deploy on-premises and in public clouds with Kubernetes Operator and Terraform.
Statistics
GitHub Stars
10.6K
GitHub Stars
15.4K
GitHub Forks
2.5K
GitHub Forks
2.4K
Stacks
258
Stacks
34
Followers
586
Followers
109
Votes
71
Votes
6
Pros & Cons
Pros
  • 23
    Fast
  • 20
    Lightweight
  • 11
    Transport agnostic
  • 7
    No broker required
  • 4
    Low level APIs are in C
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
    QoS 2
  • 2
    Clusters
  • 1
    Plugins
Integrations
No integrations available
Linux
Linux
Cassandra
Cassandra
Kafka
Kafka
MongoDB
MongoDB

What are some alternatives to ZeroMQ, EMQX?

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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