Overview

NSQ

Stacks141

Followers356

Votes148

MassTransit

Stacks167

Followers176

Votes0

MassTransit vs NSQ: What are the differences?

## Introduction
When considering message queuing systems, MassTransit and NSQ are two popular options that are often compared. While both systems serve the purpose of decoupling application components, there are key differences between them that affect their suitability for different use cases.

1. **Messaging Protocol**: MassTransit is designed to work over AMQP (Advanced Message Queuing Protocol) while NSQ uses its custom messaging protocol. This difference impacts interoperability with other systems and tools that may already be using a specific messaging protocol.
   
2. **Language Support**: MassTransit primarily targets the .NET ecosystem, providing extensive support and integrations for .NET applications. On the other hand, NSQ offers support for multiple programming languages such as Go, Python, and Ruby, making it more versatile for polyglot environments.

3. **Message Delivery Guarantees**: MassTransit offers features for transactional messaging and provides a variety of delivery guarantees like At Least Once, At Most Once, and Exactly Once which can be configured as needed. NSQ prioritizes simplicity and speed over strong delivery guarantees, relying on a more fire-and-forget approach.

4. **Community and Ecosystem**: MassTransit has a strong community backing within the .NET community, providing resources, plugins, and support for users. NSQ, while still popular, may offer a smaller ecosystem in comparison, which could impact the availability of third-party integrations and community support.

5. **Scalability and Performance**: NSQ is known for its horizontal scalability and high performance, making it suitable for handling large volumes of messages with low latency. In contrast, while MassTransit can also scale horizontally, it may require additional configuration and optimizations to achieve the same level of performance as NSQ.

6. **Operational Complexity**: MassTransit, being tightly integrated with the .NET ecosystem, may offer a more straightforward setup and maintenance path for .NET-centric applications. NSQ, with its more agnostic approach to languages, may introduce additional complexity in setting up and managing the system for specific language environments.

In Summary, MassTransit and NSQ differ in messaging protocol, language support, message delivery guarantees, community support, scalability, and operational complexity.

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Advice on NSQ, MassTransit

Pramod

Co Founder at Usability Designs

Mar 2, 2020

Needs advice

I am looking into IoT World Solution where we have MQTT Broker. This MQTT Broker Sits in one of the Data Center. We are doing a lot of Alert and Alarm related processing on that Data, Currently, we are looking into Solution which can do distributed persistence of log/alert primarily on remote Disk.

Our primary need is to use lightweight where operational complexity and maintenance costs can be significantly reduced. We want to do it on-premise so we are not considering cloud solutions.

We looked into the following alternatives:

Apache Kafka - Great choice but operation and maintenance wise very complex. Rabbit MQ - High availability is the issue, Apache Pulsar - Operational Complexity. NATS - Absence of persistence. Akka Streams - Big learning curve and operational streams.

So we are looking into a lightweight library that can do distributed persistence preferably with publisher and subscriber model. Preferable on JVM stack.

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Comments

Detailed Comparison

NSQ	MassTransit
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.	It is free software/open-source .NET-based Enterprise Service Bus software that helps Microsoft developers route messages over MSMQ, RabbitMQ, TIBCO and ActiveMQ service busses, with native support for MSMQ and RabbitMQ.
support distributed topologies with no SPOF;horizontally scalable (no brokers, seamlessly add more nodes to the cluster);low-latency push based message delivery (performance);combination load-balanced and multicast style message routing;excel at both streaming (high-throughput) and job oriented (low-throughput) workloads;primarily in-memory (beyond a high-water mark messages are transparently kept on disk);runtime discovery service for consumers to find producers (nsqlookupd);transport layer security (TLS);data format agnostic;few dependencies (easy to deploy) and a sane, bounded, default configuration;simple TCP protocol supporting client libraries in any language;HTTP interface for stats, admin actions, and producers (no client library needed to publish);integrates with statsd for realtime instrumentation;robust cluster administration interface (nsqadmin)	Message-based communication; Reliable; Scalable
Statistics
Stacks 141	Stacks 167
Followers 356	Followers 176
Votes 148	Votes 0
Pros & Cons
Pros 29 It's in golang 20 Distributed 20 Lightweight 18 Easy setup 17 High throughput Cons 1 Long term persistence 1 Get NSQ behavior out of Kafka but not inverse 1 HA	No community feedback yet
Integrations
No integrations available	.NET Server Density PHP Datadog Tutum

What are some alternatives to NSQ, MassTransit?

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.

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.

IronMQ

An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.