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  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Message Queue
  5. ActiveMQ vs VerneMQ

ActiveMQ vs VerneMQ

OverviewComparisonAlternatives

Overview

ActiveMQ
ActiveMQ
Stacks879
Followers1.3K
Votes77
GitHub Stars2.4K
Forks1.5K
VerneMQ
VerneMQ
Stacks31
Followers136
Votes6

ActiveMQ vs VerneMQ: What are the differences?

# Introduction

Key differences between ActiveMQ and VerneMQ are highlighted below:

1. **Messaging Protocol Support**: ActiveMQ supports several messaging protocols like OpenWire, STOMP, AMQP, and MQTT, providing flexibility in choosing communication protocols. In contrast, VerneMQ primarily focuses on the MQTT protocol, making it a preferred choice for MQTT-heavy applications.

2. **Cluster Management**: ActiveMQ offers built-in support for clustering, enabling easy scalability and high availability. VerneMQ, on the other hand, is specifically designed for distributed MQTT clusters, providing robust cluster management features tailored for MQTT-based systems.

3. **Security Features**: ActiveMQ provides a wide range of security features, including SSL/TLS support, message encryption, and authentication mechanisms like LDAP and Kerberos. VerneMQ emphasizes security by offering features like client-side and server-side SSL encryption, certificate-based client authentication, and access control lists to ensure secure communication.

4. **Enterprise Integration Capabilities**: ActiveMQ integrates well with various enterprise platforms and technologies, including Apache Camel, Spring Framework, and Java EE, making it suitable for complex enterprise integration scenarios. VerneMQ primarily focuses on lightweight, scalable MQTT messaging, making it ideal for IoT, real-time messaging applications, and scenarios where MQTT is the preferred protocol.

5. **Community Support**: ActiveMQ has a large and diverse community of users and contributors, providing extensive documentation, tutorials, and community support forums. VerneMQ, being more niche-focused on MQTT messaging, has a smaller but dedicated community that specializes in MQTT-related discussions, optimizations, and best practices.

6. **License Model**: ActiveMQ is licensed under the Apache 2.0 License, allowing for flexibility in commercial use and modifications. VerneMQ is released under the Apache 2.0 License as well, ensuring open-source availability and the freedom to modify and distribute the software within the bounds of the license terms.

In Summary, ActiveMQ and VerneMQ differ in messaging protocol support, cluster management capabilities, security features, enterprise integration capabilities, community support, and license models.

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Detailed Comparison

ActiveMQ
ActiveMQ
VerneMQ
VerneMQ

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.

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.

Protect your data & Balance your Load; Easy enterprise integration patterns; Flexible deployment
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
2.4K
GitHub Stars
-
GitHub Forks
1.5K
GitHub Forks
-
Stacks
879
Stacks
31
Followers
1.3K
Followers
136
Votes
77
Votes
6
Pros & Cons
Pros
  • 18
    Easy to use
  • 14
    Open source
  • 13
    Efficient
  • 10
    JMS compliant
  • 6
    High Availability
Cons
  • 1
    Support
  • 1
    Difficult to scale
  • 1
    Low resilience to exceptions and interruptions
  • 1
    ONLY Vertically Scalable
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
No integrations available
MySQL
MySQL
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Memcached
Memcached
Redis
Redis

What are some alternatives to ActiveMQ, 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.

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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