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IronMQ

35
49
+ 1
36
Kafka Manager

69
173
+ 1
1
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IronMQ vs Kafka Manager: What are the differences?

IronMQ: Message Queue for any deployment. 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; Kafka Manager: A tool for managing Apache Kafka, developed by Yahoo. This interface makes it easier to identify topics which are unevenly distributed across the cluster or have partition leaders unevenly distributed across the cluster. It supports management of multiple clusters, preferred replica election, replica re-assignment, and topic creation. It is also great for getting a quick bird’s eye view of the cluster.

IronMQ and Kafka Manager belong to "Message Queue" category of the tech stack.

Some of the features offered by IronMQ are:

  • Instant High Availability- Runs on top cloud infrastructures and uses multiple high-availability data centers. Uses reliable datastores for message durability and persistence.
  • Easy to Use- IronMQ is super easy to use. Simply connect directly to the API endpoints and you're ready to create and use queues. There are also client libraries available in any language you want – Ruby, Python, PHP, Java, .NET, Go, Node.JS, and more
  • Scalable / High Performance- Built using high-performance languages designed for concurrency and runs on industrial-strength clouds. Push messages and stream data at will without worrying about memory limits or adding more servers.

On the other hand, Kafka Manager provides the following key features:

  • Manage multiple clusters
  • Easy inspection of cluster state (topics, brokers, replica distribution, partition distribution)
  • Run preferred replica election

Kafka Manager is an open source tool with 7.55K GitHub stars and 1.84K GitHub forks. Here's a link to Kafka Manager's open source repository on GitHub.

HotelTonight, Coinbase, and Hubble are some of the popular companies that use IronMQ, whereas Kafka Manager is used by Yahoo!, IgnitionOne, and Ocado Technology. IronMQ has a broader approval, being mentioned in 9 company stacks & 5 developers stacks; compared to Kafka Manager, which is listed in 8 company stacks and 5 developer stacks.

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Pros of IronMQ
Pros of Kafka Manager
  • 12
    Great Support
  • 8
    Heroku Add-on
  • 3
    Push support
  • 3
    Delayed delivery upto 7 days
  • 2
    Super fast
  • 2
    Language agnostic
  • 2
    Good analytics/monitoring
  • 2
    Ease of configuration
  • 2
    GDPR Compliant
  • 1
    Better Insights for Kafka cluster

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Cons of IronMQ
Cons of Kafka Manager
  • 1
    Can't use rabbitmqadmin
    Be the first to leave a con

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    What is 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.

    What is Kafka Manager?

    This interface makes it easier to identify topics which are unevenly distributed across the cluster or have partition leaders unevenly distributed across the cluster. It supports management of multiple clusters, preferred replica election, replica re-assignment, and topic creation. It is also great for getting a quick bird’s eye view of the cluster.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use IronMQ?
    What companies use Kafka Manager?
    See which teams inside your own company are using IronMQ or Kafka Manager.
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    What tools integrate with IronMQ?
    What tools integrate with Kafka Manager?

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    What are some alternatives to IronMQ and Kafka Manager?
    RabbitMQ
    RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
    Kafka
    Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
    CloudAMQP
    Fully managed, highly available RabbitMQ servers and clusters, on all major compute platforms.
    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.
    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.
    See all alternatives