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  1. Stackups
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  4. Message Queue
  5. Amazon MQ vs Goqite

Amazon MQ vs Goqite

OverviewComparisonAlternatives

Overview

Amazon MQ
Amazon MQ
Stacks55
Followers325
Votes12
Goqite
Goqite
Stacks0
Followers0
Votes0
GitHub Stars496
Forks16

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Detailed Comparison

Amazon MQ
Amazon MQ
Goqite
Goqite

Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud.

It is a persistent message queue Go library built on SQLite and inspired by AWS SQS but much simpler. Messages are sent to and received from the queue, and are guaranteed to not be redelivered before a timeout occurs.

-
Messages are persisted in a SQLite table; Support for multiple queues in one table; Message timeouts can be extended, to support e.g. long-running tasks; A simple HTTP handler is provided for your convenience; No non-test dependencies. Bring your own SQLite driver
Statistics
GitHub Stars
-
GitHub Stars
496
GitHub Forks
-
GitHub Forks
16
Stacks
55
Stacks
0
Followers
325
Followers
0
Votes
12
Votes
0
Pros & Cons
Pros
  • 7
    Supports low IQ developers
  • 3
    Supports existing protocols (JMS, NMS, AMQP, STOMP, …)
  • 2
    Easy to migrate existing messaging service
Cons
  • 4
    Slow AF
No community feedback yet
Integrations
AWS IAM
AWS IAM
Amazon CloudWatch
Amazon CloudWatch
ActiveMQ
ActiveMQ
SQLite
SQLite
Golang
Golang

What are some alternatives to Amazon MQ, Goqite?

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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