DoctorKafka vs Apache RocketMQ

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DoctorKafka
DoctorKafka

0
5
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0
Apache RocketMQ
Apache RocketMQ

9
18
+ 1
4
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DoctorKafka vs Apache RocketMQ: 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, Apache RocketMQ is detailed as "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.

DoctorKafka and Apache RocketMQ can be primarily classified as "Message Queue" tools.

DoctorKafka and Apache RocketMQ are both open source tools. Apache RocketMQ with 8.25K GitHub stars and 4.23K forks on GitHub appears to be more popular than DoctorKafka with 488 GitHub stars and 68 GitHub forks.

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 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 DoctorKafka?
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          What are some alternatives to DoctorKafka 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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