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DoctorKafka vs MSMQ

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DoctorKafka
3
17
+ 1
0
MSMQ
32
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DoctorKafka vs MSMQ: What are the differences?

Developers describe DoctorKafka as "A service for Kafka cluster auto healing and workload balancing". DoctorKafka can automatically detect broker failure and reassign the workload on the failed nodes to other nodes. DoctorKafka can also perform load balancing based on topic partitions's network usage, and makes sure that broker network usage does not exceed the defined settings. On the other hand, MSMQ is detailed as "A technology for asynchronous messaging". This technology enables applications running at different times to communicate across heterogeneous networks and systems that may be temporarily offline. Applications send messages to queues and read messages from queues.

DoctorKafka and MSMQ can be categorized as "Message Queue" tools.

DoctorKafka is an open source tool with 487 GitHub stars and 68 GitHub forks. Here's a link to DoctorKafka's open source repository on GitHub.

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Pros of DoctorKafka
Pros of MSMQ
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    • 2
      Easy to learn
    • 1
      Cloud not needed

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    Cons of DoctorKafka
    Cons of MSMQ
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      • 1
        Windows dependency

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      What is DoctorKafka?

      DoctorKafka can automatically detect broker failure and reassign the workload on the failed nodes to other nodes. DoctorKafka can also perform load balancing based on topic partitions's network usage, and makes sure that broker network usage does not exceed the defined settings.

      What is MSMQ?

      This technology enables applications running at different times to communicate across heterogeneous networks and systems that may be temporarily offline. Applications send messages to queues and read messages from queues.

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

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      What companies use DoctorKafka?
      What companies use MSMQ?
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        What tools integrate with DoctorKafka?
        What tools integrate with MSMQ?
        What are some alternatives to DoctorKafka and MSMQ?
        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.
        rdkafka
        This gem is a modern Kafka client library for Ruby based on librdkafka. It wraps the production-ready C client using the ffi gem and targets Kafka 1.0+ and Ruby 2.3+.
        Kafka REST
        It provides a RESTful interface to a Kafka cluster. It makes it easy to produce and consume messages, view the state of the cluster, and perform administrative actions without using the native Kafka protocol or clients. Examples of use cases include reporting data to Kafka from any frontend app built in any language, ingesting messages into a stream processing framework that doesn't yet support Kafka, and scripting administrative actions.
        Kafka UI
        It is a simple tool that makes your data flows observable, helps find and troubleshoot issues faster and deliver optimal performance. Its lightweight dashboard makes it easy to track key metrics of your Kafka clusters - Brokers, Topics, Partitions, Production, and Consumption.
        Kafdrop
        It is a web UI for viewing Kafka topics and browsing consumer groups. The tool displays information such as brokers, topics, partitions, consumers, and lets you view messages.
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