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DistributedLog
DistributedLog

12
27
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0
Kestrel
Kestrel

12
9
+ 1
0
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DistributedLog vs Kestrel: What are the differences?

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; Kestrel: Simple, distributed message queue system. Kestrel is based on Blaine Cook's "starling" simple, distributed message queue, with added features and bulletproofing, as well as the scalability offered by actors and the JVM.

DistributedLog and Kestrel can be categorized as "Message Queue" tools.

Some of the features offered by DistributedLog are:

  • High Performance
  • Durable and Consistent
  • Efficient Fan-in and Fan-out

On the other hand, Kestrel provides the following key features:

  • Written by Robey Pointer
  • Starling clone written in Scala (a port of Starling from Ruby to Scala)
  • Queues are stored in memory, but logged on disk

DistributedLog and Kestrel are both open source tools. Kestrel with 2.8K GitHub stars and 326 forks on GitHub appears to be more popular than DistributedLog with 2.25K GitHub stars and 283 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 Kestrel?

Kestrel is based on Blaine Cook's "starling" simple, distributed message queue, with added features and bulletproofing, as well as the scalability offered by actors and the JVM.
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              What are some alternatives to DistributedLog and Kestrel?
              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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