RSMQ vs MSMQ Comparison | StackShare | StackShare

MSMQ vs RSMQ

Overview

RSMQ

Stacks4

Followers87

Votes6

GitHub Stars1.8K

Forks120

MSMQ

Stacks33

Followers118

Votes3

MSMQ vs RSMQ: What are the differences?

Developers describe MSMQ as "A technology for asynchronous messaging". This technology enables applications running at different times to communicate across heterogeneous networks and systems that may be temporarily offline. Applications send messages to queues and read messages from queues. On the other hand, RSMQ is detailed as "A lightweight message queue for Node.js that requires no dedicated queue server. Just a Redis server". tl;dr: If you run a Redis server and currently use Amazon SQS or a similar message queue you might as well use this fast little replacement. Using a shared Redis server multiple Node.js processes can send / receive messages.

MSMQ and RSMQ belong to "Message Queue" category of the tech stack.

RSMQ is an open source tool with 1.07K GitHub stars and 78 GitHub forks. Here's a link to RSMQ's open source repository on GitHub.

Detailed Comparison

RSMQ	MSMQ
tl;dr: If you run a Redis server and currently use Amazon SQS or a similar message queue you might as well use this fast little replacement. Using a shared Redis server multiple Node.js processes can send / receive messages.	This technology enables applications running at different times to communicate across heterogeneous networks and systems that may be temporarily offline. Applications send messages to queues and read messages from queues.
Lightweight: Just Redis and ~500 lines of javascript.;Guaranteed delivery of a message to exactly one recipient within a messages visibility timeout.;Received messages that are not deleted will reappear after the visibility timeout.;Test coverage;Optional RESTful interface via rest-rsmq	-
Statistics
GitHub Stars 1.8K	GitHub Stars -
GitHub Forks 120	GitHub Forks -
Stacks 4	Stacks 33
Followers 87	Followers 118
Votes 6	Votes 3
Pros & Cons
Pros 2 Simple, does one thing well 1 Written in Coffeescript 1 Backed by Redis 1 Comes with a visibility timeout feature similar to AWS 1 Written in TypeScript	Pros 2 Easy to learn 1 Cloud not needed Cons 1 Windows dependency
Integrations
Redis	No integrations available

What are some alternatives to RSMQ, MSMQ?

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.

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

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 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

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

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

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 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

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