Kafka Manager vs Apache RocketMQ

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Kafka Manager
Kafka Manager

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46
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Apache RocketMQ
Apache RocketMQ

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Kafka Manager vs Apache RocketMQ: What are the differences?

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; Apache RocketMQ: Open source distributed messaging and streaming data platform. Apache RocketMQ is a distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability.

Kafka Manager and Apache RocketMQ can be categorized as "Message Queue" tools.

Kafka Manager and Apache RocketMQ are both open source tools. It seems that Apache RocketMQ with 8.25K GitHub stars and 4.23K forks on GitHub has more adoption than Kafka Manager with 7.55K GitHub stars and 1.84K GitHub forks.

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.

What is Apache RocketMQ?

Apache RocketMQ is a distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability.
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        What tools integrate with Kafka Manager?
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        What are some alternatives to Kafka Manager and Apache RocketMQ?
        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.
        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.
        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.
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        Decisions about Kafka Manager and Apache RocketMQ
        Conor Myhrvold
        Conor Myhrvold
        Tech Brand Mgr, Office of CTO at Uber · | 5 upvotes · 133.6K views
        atUber TechnologiesUber Technologies
        Kafka Manager
        Kafka Manager
        Kafka
        Kafka
        GitHub
        GitHub
        Apache Spark
        Apache Spark
        Hadoop
        Hadoop

        Why we built Marmaray, an open source generic data ingestion and dispersal framework and library for Apache Hadoop :

        Built and designed by our Hadoop Platform team, Marmaray is a plug-in-based framework built on top of the Hadoop ecosystem. Users can add support to ingest data from any source and disperse to any sink leveraging the use of Apache Spark . The name, Marmaray, comes from a tunnel in Turkey connecting Europe and Asia. Similarly, we envisioned Marmaray within Uber as a pipeline connecting data from any source to any sink depending on customer preference:

        https://eng.uber.com/marmaray-hadoop-ingestion-open-source/

        (Direct GitHub repo: https://github.com/uber/marmaray Kafka Kafka Manager )

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