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  4. Message Queue
  5. Kafka Manager vs ZeroMQ

Kafka Manager vs ZeroMQ

OverviewDecisionsComparisonAlternatives

Overview

ZeroMQ
ZeroMQ
Stacks258
Followers586
Votes71
GitHub Stars10.6K
Forks2.5K
Kafka Manager
Kafka Manager
Stacks70
Followers173
Votes1

Kafka Manager vs ZeroMQ: What are the differences?

Kafka Manager: 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; ZeroMQ: Fast, lightweight messaging library that allows you to design complex communication system without much effort. 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.

Kafka Manager and ZeroMQ 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, ZeroMQ provides the following key features:

  • Connect your code in any language, on any platform.
  • Carries messages across inproc, IPC, TCP, TPIC, multicast.
  • Smart patterns like pub-sub, push-pull, and router-dealer.

Kafka Manager and ZeroMQ are both open source tools. Kafka Manager with 7.55K GitHub stars and 1.84K forks on GitHub appears to be more popular than ZeroMQ with 5.33K GitHub stars and 1.57K GitHub forks.

According to the StackShare community, ZeroMQ has a broader approval, being mentioned in 35 company stacks & 12 developers stacks; compared to Kafka Manager, which is listed in 8 company stacks and 5 developer stacks.

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Advice on ZeroMQ, Kafka Manager

Meili
Meili

Software engineer at Digital Science

Sep 24, 2020

Needs adviceonZeroMQZeroMQRabbitMQRabbitMQAmazon SQSAmazon SQS

Hi, we are in a ZMQ set up in a push/pull pattern, and we currently start to have more traffic and cases that the service is unavailable or stuck. We want to:

  • Not loose messages in services outages
  • Safely restart service without losing messages (@{ZeroMQ}|tool:1064| seems to need to close the socket in the receiver before restart manually)

Do you have experience with this setup with ZeroMQ? Would you suggest RabbitMQ or Amazon SQS (we are in AWS setup) instead? Something else?

Thank you for your time

500k views500k
Comments
Bela Tibor
Bela Tibor

Technical Lead at Salt & Pepper

Mar 10, 2021

Review

This depends on your needs, but basically Kafka is the de-facto solution to go for. RabbitMQ, ZeroMQ or similar message queuing systems have their advantages too. Check for parallel consuming, in-flight queue (topic for Kafka) creation needs, consumer <-> message relations (how many consumers are interested in a message, all consumers are interested in all messages) etc...

66 views66
Comments

Detailed Comparison

ZeroMQ
ZeroMQ
Kafka Manager
Kafka Manager

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.

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.

Connect your code in any language, on any platform.;Carries messages across inproc, IPC, TCP, TPIC, multicast.;Smart patterns like pub-sub, push-pull, and router-dealer.;High-speed asynchronous I/O engines, in a tiny library.;Backed by a large and active open source community.;Supports every modern language and platform.;Build any architecture: centralized, distributed, small, or large.;Free software with full commercial support.
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
GitHub Stars
10.6K
GitHub Stars
-
GitHub Forks
2.5K
GitHub Forks
-
Stacks
258
Stacks
70
Followers
586
Followers
173
Votes
71
Votes
1
Pros & Cons
Pros
  • 23
    Fast
  • 20
    Lightweight
  • 11
    Transport agnostic
  • 7
    No broker required
  • 4
    Low level APIs are in C
Cons
  • 5
    No message durability
  • 3
    Not a very reliable system - message delivery wise
  • 1
    M x N problem with M producers and N consumers
Pros
  • 1
    Better Insights for Kafka cluster
Integrations
No integrations available
Kafka
Kafka

What are some alternatives to ZeroMQ, Kafka Manager?

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.

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.

IronMQ

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.

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