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  5. IBM MQ vs NServiceBus

IBM MQ vs NServiceBus

OverviewComparisonAlternatives

Overview

NServiceBus
NServiceBus
Stacks76
Followers132
Votes2
IBM MQ
IBM MQ
Stacks118
Followers187
Votes11

IBM MQ vs NServiceBus: What are the differences?

Developers describe IBM MQ as "Enterprise-grade messaging middleware". It is a messaging middleware that simplifies and accelerates the integration of diverse applications and business data across multiple platforms. It offers proven, enterprise-grade messaging capabilities that skillfully and safely move information. On the other hand, NServiceBus is detailed as "*Enterprise-grade scalability and reliability for your workflows and integrations *". Performance, scalability, pub/sub, reliable integration, workflow orchestration, and everything else you could possibly want in a service bus.

IBM MQ and NServiceBus can be categorized as "Message Queue" tools.

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Detailed Comparison

NServiceBus
NServiceBus
IBM MQ
IBM MQ

Performance, scalability, pub/sub, reliable integration, workflow orchestration, and everything else you could possibly want in a service bus.

It is a messaging middleware that simplifies and accelerates the integration of diverse applications and business data across multiple platforms. It offers proven, enterprise-grade messaging capabilities that skillfully and safely move information.

-
Once-and-once-only delivery; Asynchronous messaging; Powerful protection; Simplified, smart management; Augmented security; Expanded client application options
Statistics
Stacks
76
Stacks
118
Followers
132
Followers
187
Votes
2
Votes
11
Pros & Cons
Pros
  • 1
    Not as good as alternatives, good job security
  • 1
    Brings on-prem issues to the cloud
Pros
  • 3
    Reliable for banking transactions
  • 3
    Useful for big enteprises
  • 2
    Secure
  • 1
    Many deployment options (containers, cloud, VM etc)
  • 1
    Broader connectivity - more protocols, APIs, Files etc
Cons
  • 2
    Cost

What are some alternatives to NServiceBus, IBM MQ?

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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