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  4. Kafka Tools
  5. Kafka Manager vs Mosquitto

Kafka Manager vs Mosquitto

OverviewComparisonAlternatives

Overview

Kafka Manager
Kafka Manager
Stacks70
Followers173
Votes1
Mosquitto
Mosquitto
Stacks136
Followers306
Votes14

Kafka Manager vs Mosquitto: 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, Mosquitto is detailed as "An open source message broker that implements the MQTT protocol". It is lightweight and is suitable for use on all devices from low power single board computers to full servers.. The MQTT protocol provides a lightweight method of carrying out messaging using a publish/subscribe model. This makes it suitable for Internet of Things messaging such as with low power sensors or mobile devices such as phones, embedded computers or microcontrollers.

Kafka Manager and Mosquitto can be primarily classified as "Message Queue" tools.

Kafka Manager is an open source tool with 7.56K GitHub stars and 1.84K GitHub forks. Here's a link to Kafka Manager's open source repository on GitHub.

Yahoo!, IgnitionOne, and Ocado Technology are some of the popular companies that use Kafka Manager, whereas Mosquitto is used by Teleolabs, Xanview Ltd, and Future Corporation. Kafka Manager has a broader approval, being mentioned in 8 company stacks & 5 developers stacks; compared to Mosquitto, which is listed in 3 company stacks and 3 developer stacks.

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Detailed Comparison

Kafka Manager
Kafka Manager
Mosquitto
Mosquitto

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.

It is lightweight and is suitable for use on all devices from low power single board computers to full servers.. The MQTT protocol provides a lightweight method of carrying out messaging using a publish/subscribe model. This makes it suitable for Internet of Things messaging such as with low power sensors or mobile devices such as phones, embedded computers or microcontrollers.

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
70
Stacks
136
Followers
173
Followers
306
Votes
1
Votes
14
Pros & Cons
Pros
  • 1
    Better Insights for Kafka cluster
Pros
  • 10
    Simple and light
  • 4
    Performance
Integrations
Kafka
Kafka
No integrations available

What are some alternatives to Kafka Manager, Mosquitto?

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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