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DistributedLog
DistributedLog

12
27
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0
DoctorKafka
DoctorKafka

0
5
+ 1
0
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DistributedLog vs DoctorKafka: What are the differences?

What is DistributedLog? High-performance replicated log service, by Twitter. DistributedLog (DL) is a high-performance, replicated log service, offering durability, replication and strong consistency as essentials for building reliable distributed systems.

What is DoctorKafka? 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.

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

DistributedLog and DoctorKafka are both open source tools. It seems that DistributedLog with 2.25K GitHub stars and 283 forks on GitHub has more adoption than DoctorKafka with 488 GitHub stars and 68 GitHub forks.

What is DistributedLog?

DistributedLog (DL) is a high-performance, replicated log service, offering durability, replication and strong consistency as essentials for building reliable distributed systems.

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.
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              What are some alternatives to DistributedLog and DoctorKafka?
              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 gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
              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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