Finagle
Akka
RxJS
Netty
Highland.js
Dapr
Facebook Local
GPars
Apache Kafka
RabbitMQ
Apache ActiveMQ
Histats
Amazon SQS
StatCounter
AFSAnalytics
KISSmetrics
Finagle| Categories |
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| Website | twitter.github.io |
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Apache Kafka| Categories |
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| Website | kafka.apache.org |
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Based on our record, Apache Kafka should be more popular than Finagle. 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.
Not sure about now but a few years back the company I worked for was heavily vested in Finagle [1] using Future pools. I'm sure virtual threads would only enhance this framework. Also, Spring and it's reactive webflux would probably benefit as well [2]. [1] https://twitter.github.io/finagle/ [2] https://docs.spring.io/spring-framework/reference/web/webflux/reactive-spring.html. - Source: Hacker News / 8 months ago
Don't really see how "enterprise scala" has anything to do with this, scala is meant to be parallelized , that's like it's whole thing with akka / actors / twitter's finagle (https://twitter.github.io/finagle/). Source: about 1 year ago
Bro it's their fucking project lolhttps://twitter.github.io/finagle/. Source: over 1 year ago
You can even see it mentioned in Finagle's project, which is what Twitter uses https://twitter.github.io/finagle/. Source: over 1 year ago
RPC generally means server side calls, probably this https://twitter.github.io/finagle/, and XHR is not RPC. - Source: Hacker News / over 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 1 month 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 / 2 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 / 2 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
Akka - Build powerful reactive, concurrent, and distributed applications in Java and Scala
RabbitMQ - RabbitMQ is an open source message broker software.
RxJS - Reactive Extensions for Javascript
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
Netty - Cloud-based real estate management solution
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