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  1. Stackups
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  4. Message Queue
  5. ActiveMQ vs MassTransit

ActiveMQ vs MassTransit

OverviewComparisonAlternatives

Overview

ActiveMQ
ActiveMQ
Stacks879
Followers1.3K
Votes77
GitHub Stars2.4K
Forks1.5K
MassTransit
MassTransit
Stacks167
Followers176
Votes0

ActiveMQ vs MassTransit: What are the differences?

# Introduction
Apache ActiveMQ and MassTransit are both popular messaging frameworks used in software development. Here are the key differences between them:

1. **Messaging Protocol**: ActiveMQ primarily uses the OpenWire protocol for communication, while MassTransit is built on top of the AMQP protocol. This choice of protocol affects inter-operability and integration with other systems. 

2. **Programming Languages**: ActiveMQ is primarily used with Java-based applications, providing strong support and integration with the Java ecosystem. In contrast, MassTransit provides support for multiple languages, such as .NET, making it suitable for organizations with diverse technology stacks. 

3. **Message Routing**: ActiveMQ offers flexible message routing capabilities through its network of brokers, allowing for complex routing scenarios. On the other hand, MassTransit simplifies message routing with its built-in support for patterns like Publish-Subscribe and request-response.

4. **Transport Layers**: ActiveMQ offers various transport layers, including TCP/IP, UDP, and HTTP, providing flexibility in communication channels. MassTransit, however, focuses on high-performance, asynchronous messaging over TCP/IP, enhancing scalability and reliability.

5. **Configuration and Deployment**: ActiveMQ requires more manual configuration and setup compared to MassTransit, which offers streamlined configuration options for quick deployment. This difference can impact the time and resources needed to get the messaging system up and running.

6. **Community and Support**: ActiveMQ has a large and active community with extensive documentation, forums, and support resources. MassTransit, while also having a supportive community, may not be as widely adopted or have the same level of documentation as ActiveMQ.

# Summary
In summary, ActiveMQ and MassTransit differ in their choice of messaging protocol, languages supported, message routing capabilities, transport layers, configuration and deployment ease, and community support. Each framework has its strengths and is suitable for different use cases based on these key differences. 

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Detailed Comparison

ActiveMQ
ActiveMQ
MassTransit
MassTransit

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.

It is free software/open-source .NET-based Enterprise Service Bus software that helps Microsoft developers route messages over MSMQ, RabbitMQ, TIBCO and ActiveMQ service busses, with native support for MSMQ and RabbitMQ.

Protect your data & Balance your Load; Easy enterprise integration patterns; Flexible deployment
Message-based communication; Reliable; Scalable
Statistics
GitHub Stars
2.4K
GitHub Stars
-
GitHub Forks
1.5K
GitHub Forks
-
Stacks
879
Stacks
167
Followers
1.3K
Followers
176
Votes
77
Votes
0
Pros & Cons
Pros
  • 18
    Easy to use
  • 14
    Open source
  • 13
    Efficient
  • 10
    JMS compliant
  • 6
    High Availability
Cons
  • 1
    Low resilience to exceptions and interruptions
  • 1
    ONLY Vertically Scalable
  • 1
    Support
  • 1
    Difficult to scale
No community feedback yet
Integrations
No integrations available
.NET
.NET
Server Density
Server Density
PHP
PHP
Datadog
Datadog
Tutum
Tutum

What are some alternatives to ActiveMQ, MassTransit?

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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