Software Alternatives & Reviews

Ktor VS Apache Kafka

Compare Ktor VS Apache Kafka and see what are their differences

Ktor logo Ktor

Ktor is a tough gig developmental platform that comes with the support to build asynchronous servers and clients right in the kotlin.

Apache Kafka logo Apache Kafka

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
  • Ktor Landing page
    Landing page //
    2022-05-05
  • Apache Kafka Landing page
    Landing page //
    2022-10-01

Ktor videos

Ktor: Past, Present, and Future! by Hadi Hariri

More videos:

  • Review - Unlimited Emergency Power: KTOR 50 Watt Generator and Inergy Kodiak Battery

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 Ktor and Apache Kafka)
Development
100 100%
0% 0
Data Integration
0 0%
100% 100
Web Frameworks
100 100%
0% 0
Stream Processing
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 Ktor and Apache Kafka

Ktor 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

Based on our record, Apache Kafka should be more popular than Ktor. 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.

Ktor mentions (29)

  • Kotlin Routing - routing everything
    In paralel Jetbrains has created a lot of KMP frameworks that are awesome. One of them is Ktor that helps "create asynchronous client and server applications.". - Source: dev.to / 11 days ago
  • Creating a Ktor Server with Gradle and SDKMAN!: A Step-by-Step Guide
    Ktor, a powerful web framework built with Kotlin, offers a lightweight and flexible solution for building web applications. In this article, we will guide you through the process of creating a Ktor project manually using Gradle and SDKMAN!. By following the steps below, you'll have a basic Ktor project up and running in no time. - Source: dev.to / 10 months ago
  • Spring MVC vs Django vs RoR vs some Kotlin Framework?
    Take a look at http4k and ktor for Kotlin specific frameworks Spring has first class support for Kotlin e.g. The following will give you reactive HTTP endpoints when using spring-webflux (this is what is use at work):. Source: 12 months ago
  • Akka-HTTP in android
    For Android you should use a more mobile friendly framework like Retrofit or if you use Kotlin you can use the multi-platform Ktor library with it's client module. Source: about 1 year ago
  • Anyone here who uses compose-multiplatform for desktop apps, what’s your feedback?
    And last but not least, Ktor Client as our HTTP client. https://ktor.io/ It's a pretty amazing http client library and integrates well with Kotlinx serialization and Coroutines. Source: about 1 year 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 2 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 / 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 Ktor and Apache Kafka, you can also consider the following products

Kotlin - Statically typed Programming Language targeting JVM and JavaScript

RabbitMQ - RabbitMQ is an open source message broker software.

Micronaut Framework - Build modular easily testable microservice & serverless apps

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

Akka - Build powerful reactive, concurrent, and distributed applications in Java and Scala

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.