Software Alternatives, Accelerators & Startups

X (Twitter) VS Apache Kafka

Compare X (Twitter) VS Apache Kafka and see what are their differences

X (Twitter) logo X (Twitter)

Connect with your friends and other fascinating people. Get in-the-moment updates on the things that interest you. And watch events unfold, in real time, from every angle.

Apache Kafka logo Apache Kafka

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
  • X (Twitter) Landing page
    Landing page //
    2023-04-08
  • Apache Kafka Landing page
    Landing page //
    2022-10-01

X (Twitter) videos

Twitter is still not a nice place: Year in Review

More 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 X (Twitter) and Apache Kafka)
Social Networks
100 100%
0% 0
Data Integration
0 0%
100% 100
Social Network
100 100%
0% 0
Stream Processing
0 0%
100% 100

User comments

Share your experience with using X (Twitter) and Apache Kafka. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare X (Twitter) and Apache Kafka

X (Twitter) Reviews

  1. Pretty nice app to share and to see how the people share the thoughts here

    👍 Pros:    Straightforward|Easy user interface|Information is easily accessible
    👎 Cons:    Can't attach a video file to your post

Top 12 Alternative Social Media Platform to Consider: An Overview
Imagine a Twitter fuelled by independent communities, not a tech giant. That's Mastodon. It's not one platform, but a network of servers, each with its own vibe, from artists and journalists to cat lovers and techies. You choose your server, connect across them, and post "toots" with longer text, images, and videos. Think open-source Twitter with more freedom and...
The 7 Best Facebook Alternatives in 2024
News stories almost always break on this platform before Facebook and other sites. It also provides users the rare opportunity to interact with editors and journalists directly due to the high number of media personnel using the service. X may not be great for catching up with family members, but it can’t be topped for staying up-to-date on the news.
The 10 Best Twitter Alternatives if You’re Thinking of Quitting X
However, the segmented nature of its network means it can take time to find and build your niche, and it won’t have the immediate, global reach of Twitter. Regarding features, Mastodon mirrors Twitter with timelines and @mentions, but it’s ad-free.
4 Twitter alternatives for brands considering leaving Twitter in 2024
If you do decide to leave Twitter, it's worth figuring out where to go. You still have Facebook, Instagram, and LinkedIn, but they're not really alternatives to Twitter. I asked some folks who manage brand social media accounts for their thoughts on Twitter alternatives, and these are the options that seem to be the most promising.
Source: zapier.com
Alternatives to Deferendum
Facebook, Twitter, Reddit, and Quora: While these social media platforms provide opportunities for discussion and debate, Deferendum offers a more structured approach to group decision-making. Deferendum allows members to focus on specific problems and solutions, and provides a transparent process for voting and decision-making.
Source: deferendum.com

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

Based on our record, X (Twitter) should be more popular than Apache Kafka. It has been mentiond 883 times since March 2021. 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.

X (Twitter) mentions (883)

  • A startup built BY the public
    If you like it, don't hesitate to follow my on X 😊. Source: 7 months ago
  • Helpful Book
    If you have faith in my comics be a disciple of me and follow on X insta or FB . Thank you and God bless. Source: 7 months ago
  • Significant Guidelines All Programmers Should Adhere To
    Connect with me via Twitter / Instagram / Github & subscribe to my Youtube Channel. - Source: dev.to / 7 months ago
  • NHL Betting and Picks - 11/25/23 (Saturday)
    If you like this pick, follow me on Twitter for more! BOL if tailing! Source: 7 months ago
  • 5 Docker Extensions to make your development life easier
    Thanks for reading. Follow me on Twitter for more cookies :). - Source: dev.to / 8 months ago
View more

Apache Kafka mentions (122)

  • Node.js Walkthrough: Build a Simple Event-Driven Application with Kafka
    Apache Kafka is a powerful tool for building EDA systems. It’s an open-source platform designed for handling real-time data feeds. Apache Kafka on Heroku is a Heroku add-on that provides Kafka as a service. Heroku makes it pretty easy to deploy and manage applications, and I’ve been using it more in my projects recently. Combining Kafka with Heroku simplifies the setup process when you want to run an event-driven... - Source: dev.to / 9 days ago
  • Best Practices for Building Microservices with NestJS
    Choose a consistent communication protocol for inter-service communication. Common protocols include HTTP, gRPC, and message brokers like RabbitMQ or Kafka. NestJS supports various communication strategies, allowing you to choose the one that best fits your needs. - Source: dev.to / 28 days ago
  • 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 / 4 months 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 / 5 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 / 5 months ago
View more

What are some alternatives?

When comparing X (Twitter) and Apache Kafka, you can also consider the following products

Facebook - Connect with friends, family and other people you know. Share photos and videos, send messages and get updates.

RabbitMQ - RabbitMQ is an open source message broker software.

Mastodon - Mastodon is a decentralized, open source social network. This is just one part of the network, run by the main developers of the project It is not focused on any particular niche interest - everyone is welcome!

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

Reddit - Reddit gives you the best of the internet in one place. Get a constantly updating feed of breaking news, fun stories, pics, memes, and videos just for you.

StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.