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.
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
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
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
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
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
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
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
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
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 3 months ago
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
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.