Kafka Manager vs NSQ

Overview

NSQ

Stacks141

Followers356

Votes148

Kafka Manager

Stacks70

Followers173

Votes1

Kafka Manager vs NSQ: What are the differences?

Developers describe Kafka Manager as "A tool for managing Apache Kafka, developed by Yahoo". This interface makes it easier to identify topics which are unevenly distributed across the cluster or have partition leaders unevenly distributed across the cluster. It supports management of multiple clusters, preferred replica election, replica re-assignment, and topic creation. It is also great for getting a quick bird’s eye view of the cluster. On the other hand, NSQ is detailed as "A realtime distributed messaging platform". 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.

Kafka Manager and NSQ belong to "Message Queue" category of the tech stack.

Some of the features offered by Kafka Manager are:

Manage multiple clusters
Easy inspection of cluster state (topics, brokers, replica distribution, partition distribution)
Run preferred replica election

On the other hand, NSQ provides the following key features:

support distributed topologies with no SPOF
horizontally scalable (no brokers, seamlessly add more nodes to the cluster)
low-latency push based message delivery (performance)

Kafka Manager and NSQ are both open source tools. It seems that NSQ with 15.6K GitHub stars and 2.03K forks on GitHub has more adoption than Kafka Manager with 7.55K GitHub stars and 1.84K GitHub forks.

Stripe, Docker, and Segment are some of the popular companies that use NSQ, whereas Kafka Manager is used by Yahoo!, IgnitionOne, and Ocado Technology. NSQ has a broader approval, being mentioned in 21 company stacks & 8 developers stacks; compared to Kafka Manager, which is listed in 8 company stacks and 5 developer stacks.

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CLI (Node.js)

Manual

Advice on NSQ, Kafka Manager

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	Kafka Manager
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.	This interface makes it easier to identify topics which are unevenly distributed across the cluster or have partition leaders unevenly distributed across the cluster. It supports management of multiple clusters, preferred replica election, replica re-assignment, and topic creation. It is also great for getting a quick bird’s eye view of the cluster.
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)	Manage multiple clusters;Easy inspection of cluster state (topics, brokers, replica distribution, partition distribution);Run preferred replica election;Generate partition assignments (based on current state of cluster);Run reassignment of partition (based on generated assignments)
Statistics
Stacks 141	Stacks 70
Followers 356	Followers 173
Votes 148	Votes 1
Pros & Cons
Pros 29 It's in golang 20 Distributed 20 Lightweight 18 Easy setup 17 High throughput Cons 1 HA 1 Long term persistence 1 Get NSQ behavior out of Kafka but not inverse	Pros 1 Better Insights for Kafka cluster
Integrations
No integrations available	Kafka

What are some alternatives to NSQ, Kafka Manager?

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.

Related Comparisons

Some of the features offered by Kafka Manager are:

Manage multiple clusters
Easy inspection of cluster state (topics, brokers, replica distribution, partition distribution)
Run preferred replica election

On the other hand, NSQ provides the following key features:

support distributed topologies with no SPOF
horizontally scalable (no brokers, seamlessly add more nodes to the cluster)
low-latency push based message delivery (performance)

Kafka Manager vs NSQ