Software Alternatives & Reviews

Redux.js VS Apache Kafka

Compare Redux.js VS Apache Kafka and see what are their differences

Redux.js logo Redux.js

Predictable state container for JavaScript apps

Apache Kafka logo Apache Kafka

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
  • Redux.js Landing page
    Landing page //
    2022-07-17
  • Apache Kafka Landing page
    Landing page //
    2022-10-01

Redux.js videos

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Apache Kafka videos

Apache Kafka Tutorial | What is Apache Kafka? | Kafka Tutorial for Beginners | Edureka

More videos:

  • Review - Apache Kafka - Getting Started - Kafka Multi-node Cluster - Review Properties
  • Review - 4. Apache Kafka Fundamentals | Confluent Fundamentals for Apache Kafka®
  • Review - Apache Kafka in 6 minutes
  • Review - Apache Kafka Explained (Comprehensive Overview)
  • Review - 2. Motivations and Customer Use Cases | Apache Kafka Fundamentals

Category Popularity

0-100% (relative to Redux.js and Apache Kafka)
Javascript UI Libraries
100 100%
0% 0
Data Integration
0 0%
100% 100
JS Library
100 100%
0% 0
Stream Processing
0 0%
100% 100

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Redux.js and Apache Kafka

Redux.js Reviews

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Apache Kafka Reviews

Best message queue for cloud-native apps
If you take the time to sort out the history of message queues, you will find a very interesting phenomenon. Most of the currently popular message queues were born around 2010. For example, Apache Kafka was born at LinkedIn in 2010, Derek Collison developed Nats in 2010, and Apache Pulsar was born at Yahoo in 2012. What is the reason for this?
Source: docs.vanus.ai
Are Free, Open-Source Message Queues Right For You?
Apache Kafka is a highly scalable and robust messaging queue system designed by LinkedIn and donated to the Apache Software Foundation. It's ideal for real-time data streaming and processing, providing high throughput for publishing and subscribing to records or messages. Kafka is typically used in scenarios that require real-time analytics and monitoring, IoT applications,...
Source: blog.iron.io
10 Best Open Source ETL Tools for Data Integration
It is difficult to anticipate the exact demand for open-source tools in 2023 because it depends on various factors and emerging trends. However, open-source solutions such as Kubernetes for container orchestration, TensorFlow for machine learning, Apache Kafka for real-time data streaming, and Prometheus for monitoring and observability are expected to grow in prominence in...
Source: testsigma.com
11 Best FREE Open-Source ETL Tools in 2024
Apache Kafka is an Open-Source Data Streaming Tool written in Scala and Java. It publishes and subscribes to a stream of records in a fault-tolerant manner and provides a unified, high-throughput, and low-latency platform to manage data.
Source: hevodata.com
NATS vs RabbitMQ vs NSQ vs Kafka | Gcore
One of the biggest drawbacks of Apache Kafka is the architecture that makes it so efficient. The combination of brokers and ZooKeeper nodes, along with numerous configurable options, can make it difficult and complex for new teams to set up and manage without encountering performance issues or data loss. However, Kafka can work without ZooKeeper after 3.3.1 version using...
Source: gcore.com

Social recommendations and mentions

Redux.js might be a bit more popular than Apache Kafka. We know about 165 links to it since March 2021 and only 120 links to Apache Kafka. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Redux.js mentions (165)

  • Full Stack Web Development Concept map
    Redux - Redux is a key tool used in managing state across an application. This can be used with any web technology including React, Vue and Angular docs. - Source: dev.to / about 1 month ago
  • The 20 most used React libraries
    React-redux: A powerhouse for efficient state management and data flow control. Learn more. - Source: dev.to / 4 months ago
  • React State Management in 2024
    Reducer-based: requires dispatching actions to update a big centralised state, often called a “single source of truth”. In this group, we have Redux and Zustand. - Source: dev.to / 5 months ago
  • HTML Data Attributes: One of the Original State Management Libraries
    DEV is a Rails monolith, which uses Preact in the front-end using islands architecture. The reason why I mention all this is that it's not a full-stack JavaScript application, and there is no state management library like Redux or Zustand in use. The data store, for the most part on the front end, is all data attributes. - Source: dev.to / 5 months ago
  • JavaScript Naming Conventions are Important
    Library functions, for example, a reducer function in the Redux library (const users = (state, action) => { /* some logic */ }), functional components in React (const UserDashboard = () => { /* component */ }), and many other exceptions and conventions proposed by libraries and frameworks. - Source: dev.to / 6 months ago
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Apache Kafka mentions (120)

  • Empowering Real-Time Data Pipelines: Leveraging Apache Kafka and Rudderstack
    In today’s fast-paced digital landscape, effective data management and analysis are essential for businesses aiming to stay ahead of the curve. Fortunately, modern tools like Apache Kafka and RudderStack have revolutionized the way we handle and derive insights from large datasets. In this blog post, we’ll explore our experience implementing the Kafka Sink Connector to facilitate seamless event data transfer to... - Source: dev.to / about 1 month ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 3 months ago
  • How to Use Reductstore as a Data Sink for Kafka
    Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time. - Source: dev.to / 3 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    *Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 3 months ago
  • How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
    RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput. - Source: dev.to / 3 months ago
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What are some alternatives?

When comparing Redux.js and Apache Kafka, you can also consider the following products

React - A JavaScript library for building user interfaces

RabbitMQ - RabbitMQ is an open source message broker software.

react-context - Context provides a way to pass data through the component tree without having to pass props down manually at every level.

Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.

MobX - Simple, scalable state management

Amazon SQS - Amazon Simple Queue Service is a fully managed message queuing service.