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  1. Stackups
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  4. Message Queue
  5. VerneMQ vs ejabberd

VerneMQ vs ejabberd

OverviewComparisonAlternatives

Overview

ejabberd
ejabberd
Stacks33
Followers48
Votes0
GitHub Stars6.5K
Forks1.5K
VerneMQ
VerneMQ
Stacks31
Followers136
Votes6

VerneMQ vs ejabberd: What are the differences?

VerneMQ and ejabberd are both popular choices for building scalable, real-time messaging applications using the MQTT protocol. However, there are key differences between the two that developers should consider.

  1. Scalability: VerneMQ is designed with a unique clustering architecture that allows for easier horizontal scaling compared to ejabberd. This makes it a preferable choice for large-scale deployments where handling a high volume of connections is essential.

  2. Ease of Configuration: VerneMQ provides a simple configuration model, making it easier for developers to set up and manage the messaging infrastructure. On the other hand, ejabberd has a more complex configuration process, which may require a steeper learning curve for new users.

  3. Community Support: ejabberd has been around for a longer time and has a more established user community, which means there are more resources and third-party integrations available. VerneMQ, being a newer player in the field, may have a smaller community but is steadily growing.

  4. Feature Set: VerneMQ focuses primarily on MQTT messaging, offering a lightweight and efficient solution for IoT applications. In contrast, ejabberd supports both XMPP and MQTT protocols, providing a more versatile messaging platform but potentially with added complexity.

  5. Performance: VerneMQ is known for its high-performance capabilities, optimized for low latency and high throughput messaging scenarios. While ejabberd is also performant, VerneMQ may offer better performance for specific use cases.

  6. Licensing: VerneMQ is licensed under the Apache 2.0 license, which allows for more flexibility in usage and modification. On the other hand, ejabberd is available under the GPL license, which may have implications for certain commercial applications.

In Summary, the key differences between VerneMQ and ejabberd lie in scalability, ease of configuration, community support, feature set, performance, and licensing.

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Detailed Comparison

ejabberd
ejabberd
VerneMQ
VerneMQ

It is a distributed, fault-tolerant technology that allows the creation of large-scale instant messaging applications. The server can reliably support thousands of simultaneous users on a single node and has been designed to provide exceptional standards of fault tolerance.

VerneMQ is a distributed MQTT message broker, implemented in Erlang/OTP. It's open source, and Apache 2 licensed. VerneMQ implements the MQTT 3.1, 3.1.1 and 5.0 specifications.

Cross-platform; Administrator-friendly; Internationalized; Fault-tolerant
Open Source, Apache 2 licensed; QoS 0, QoS 1, QoS 2; MQTT v5.0 fully implemented; Basic Authentication and Authorization; Bridge Support; $SYS Tree for monitoring and reporting; TLS (SSL) Encryption; Websockets Support; Cluster Support with sophisticated self-healing mechanisms; Queue Migration; Prometheus Monitoring; Logging (Console, Files, Syslog); Reporting to Graphite; Extensible Plugin architecture (Erlang, Elixir, Lua); WebHooks Plugins; Multiple Sessions per ClientId; Shared Subscriptions; Proxy Protocol v1, v2;
Statistics
GitHub Stars
6.5K
GitHub Stars
-
GitHub Forks
1.5K
GitHub Forks
-
Stacks
33
Stacks
31
Followers
48
Followers
136
Votes
0
Votes
6
Pros & Cons
No community feedback yet
Pros
  • 1
    Proxy Protocol support
  • 1
    Open source shared subscriptions
  • 1
    Fully open source clustering
  • 1
    MQTT v5 implementation
  • 1
    Open Source Message and Metadata Persistence
Integrations
PostgreSQL
PostgreSQL
Linux
Linux
MySQL
MySQL
Mac OS X
Mac OS X
MySQL
MySQL
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Memcached
Memcached
Redis
Redis

What are some alternatives to ejabberd, VerneMQ?

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.

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.

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