Sparrow
Sparrow

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Starling
Starling

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Sparrow vs Starling: What are the differences?

Developers describe Sparrow as "A really fast lightweight queue written in Ruby that speaks memcache". Sparrow keeps messages in memory, but persists them to disk, using Sqlite, when the queue is shutdown. 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.

Sparrow and Starling can be primarily classified as "Message Queue" tools.

Starling is an open source tool with 468 GitHub stars and 63 GitHub forks. Here's a link to Starling's open source repository on GitHub.

- No public GitHub repository available -

What is Sparrow?

Sparrow keeps messages in memory, but persists them to disk, using Sqlite, when the queue is shutdown.

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.

Want advice about which of these to choose?Ask the StackShare community!

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                What are some alternatives to Sparrow 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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