Software Alternatives & Reviews

Apache Kafka VS Pusher

Compare Apache Kafka VS Pusher and see what are their differences

Apache Kafka logo Apache Kafka

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

Pusher logo Pusher

Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.
  • Apache Kafka Landing page
    Landing page //
    2022-10-01
  • Pusher Landing page
    Landing page //
    2023-10-05

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

Pusher videos

Mark Kermode reviews Pusher

More videos:

  • Review - Pusher (1996) - Movie Review
  • Review - Film Recommendations: The Pusher Trilogy

Category Popularity

0-100% (relative to Apache Kafka and Pusher)
Data Integration
100 100%
0% 0
Mobile Push Messaging
0 0%
100% 100
Stream Processing
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Reviews

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

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

Pusher Reviews

SignalR Alternatives
Pusher as a signal Alternative comes into the picture when it is simple and has free plans for the fallback of SSE to make the frame and log polling also available to the developers for troubleshooting as well.
Source: www.educba.com

Social recommendations and mentions

Based on our record, Apache Kafka should be more popular than Pusher. It has been mentiond 120 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.

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 / 2 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
View more

Pusher mentions (49)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Pusher.com — Realtime messaging service. Free for up to 100 simultaneous connections and 200,000 messages/day. - Source: dev.to / 3 months ago
  • Chat system sockets vs ajax?
    Another tool is pusher but have a high cost https://pusher.com/. Source: 5 months ago
  • Custom vs. off-the-shelf React web notification systems: Which is better?
    Pusher specializes in realtime WebSockets and offers a straightforward way to integrate realtime features into your React app. It's a reliable choice for apps that need to send notifications based on realtime events. - Source: dev.to / 7 months ago
  • Is this a viable approach to a chat microservice?
    Why are you considering building your own websocket service instead of using something like https://pusher.com/ ? Source: 10 months ago
  • Xqc says Kick could afford buying even more expensive services than Amazon's if they pull the plug
    IVS offers chat rooms, but Kick doesn't seem to use them. All chat messages are sent over a websocket connection to Pusher. Pusher seems pretty cheap for the purpose. Source: 10 months ago
View more

What are some alternatives?

When comparing Apache Kafka and Pusher, you can also consider the following products

RabbitMQ - RabbitMQ is an open source message broker software.

Socket.io - Realtime application framework (Node.JS server)

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

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

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

PubNub - PubNub is a real-time messaging system for web and mobile apps that can handle API for all platforms and push messages to any device anywhere in the world in a fraction of a second without having to worry about proxies, firewalls or mobile drop-offs.