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  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Message Queue
  5. Starling vs pg-amqp-bridge

Starling vs pg-amqp-bridge

OverviewComparisonAlternatives

Overview

Starling
Starling
Stacks8
Followers11
Votes0
GitHub Stars463
Forks59
pg-amqp-bridge
pg-amqp-bridge
Stacks0
Followers7
Votes0
GitHub Stars374
Forks38

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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Detailed Comparison

Starling
Starling
pg-amqp-bridge
pg-amqp-bridge

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.

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.

Written by Blaine Cook at Twitter;Starling is a Message Queue Server based on MemCached;Written in Ruby;Stores jobs in memory (message queue)
-
Statistics
GitHub Stars
463
GitHub Stars
374
GitHub Forks
59
GitHub Forks
38
Stacks
8
Stacks
0
Followers
11
Followers
7
Votes
0
Votes
0
Integrations
No integrations available
PostgreSQL
PostgreSQL
RabbitMQ
RabbitMQ

What are some alternatives to Starling, pg-amqp-bridge?

Kafka

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

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

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.

Amazon SQS

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.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ActiveMQ

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.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Memphis

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

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