pg-amqp-bridge vs Starling

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pg-amqp-bridge

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Starling

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pg-amqp-bridge vs Starling: What are the differences?

Developers describe pg-amqp-bridge as "Send Messages from PostgreSQL to RabbitMQ". This tool enables a decoupled architecture, think sending emails when a user signs up. Instead of having explicit code in your signup function that does the work (and slows down your response), you just have to worry about inserting the row into the database. 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.

pg-amqp-bridge and Starling can be primarily classified as "Message Queue" tools.

pg-amqp-bridge and Starling are both open source tools. Starling with 468 GitHub stars and 63 forks on GitHub appears to be more popular than pg-amqp-bridge with 251 GitHub stars and 14 GitHub forks.

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What is pg-amqp-bridge?

This tool enables a decoupled architecture, think sending emails when a user signs up. Instead of having explicit code in your signup function that does the work (and slows down your response), you just have to worry about inserting the row into the database.

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 tools integrate with pg-amqp-bridge?
    What tools integrate with Starling?
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      What are some alternatives to pg-amqp-bridge and Starling?
      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.
      See all alternatives