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Kestrel
Kestrel

12
9
+ 1
0
Sandglass
Sandglass

1
4
+ 1
0
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Kestrel vs Sandglass: What are the differences?

Developers describe Kestrel as "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. On the other hand, Sandglass is detailed as "Distributed, scalable, persistent time-sorted message queue". A distributed, horizontally scalable, persistent, time ordered message queue. Developed to support asynchronous tasks and message scheduling which makes it suitable for usage as a task queue.

Kestrel and Sandglass can be primarily classified as "Message Queue" tools.

Some of the features offered by Kestrel are:

  • 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

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

  • Horizontal scalability
  • Highly available
  • Persistent storage

Kestrel and Sandglass are both open source tools. It seems that Kestrel with 2.8K GitHub stars and 326 forks on GitHub has more adoption than Sandglass with 1.52K GitHub stars and 40 GitHub forks.

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.

What is Sandglass?

A distributed, horizontally scalable, persistent, time ordered message queue. Developed to support asynchronous tasks and message scheduling which makes it suitable for usage as a task queue.
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              What are some alternatives to Kestrel and Sandglass?
              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.
              See all alternatives
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