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Sandglass
Sandglass

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Starling
Starling

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Sandglass vs Starling: What are the differences?

Developers describe Sandglass 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. On the other hand, Starling is detailed as "A light weight server for reliable distributed message passing". Starling is a powerful but simple messaging server that enables reliable distributed queuing with an absolutely minimal overhead. It speaks the MemCache protocol for maximum cross-platform compatibility. Any language that speaks MemCache can take advantage of Starling's queue facilities.

Sandglass and Starling belong to "Message Queue" category of the tech stack.

Some of the features offered by Sandglass are:

  • Horizontal scalability
  • Highly available
  • Persistent storage

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

  • Written by Blaine Cook at Twitter
  • Starling is a Message Queue Server based on MemCached
  • Written in Ruby

Sandglass and Starling are both open source tools. It seems that Sandglass with 1.52K GitHub stars and 40 forks on GitHub has more adoption than Starling with 468 GitHub stars and 63 GitHub forks.

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.

What is Starling?

Starling is a powerful but simple messaging server that enables reliable distributed queuing with an absolutely minimal overhead. It speaks the MemCache protocol for maximum cross-platform compatibility. Any language that speaks MemCache can take advantage of Starling's queue facilities.
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              What are some alternatives to Sandglass and Starling?
              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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