Grails
Ruby on Rails
Django
Meteor
Node.js
Laravel
ASP.NET
CodeIgniter
Apache Kafka
RabbitMQ
Apache ActiveMQ
Amazon SQS
StatCounter
Histats
AFSAnalytics
KISSmetrics
Grails Apache KafkaBased on our record, Apache Kafka seems to be a lot more popular than Grails. While we know about 120 links to Apache Kafka, we've tracked only 5 mentions of Grails. 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.
And frameworks like Grails build conventions and helpers on top of Spring. Source: over 1 year ago
I don't have any direct experience and am only suggesting it because you mentioned RoR...But Grails (https://grails.org/) is basically the JVM version of RoR (Groovy on Rails -> Grails). Source: over 1 year ago
Grails - Spring under the hood. Much less boilerplate. Opinionated, which helps keep things consistent. Uses Spring-Security plugin for authentication. Source: almost 2 years ago
Also, Grails, which a Rails like framework build on Groovy, a JVM scripting language. Source: over 2 years ago
Any JVM language to the rescue here? There’s one, but it’s not the one you’re thinking about. In a sign that this index may not accurately reflect our project reality, Groovy saw a meteoric rise of 0.86% to 1.04% last year! That was good for place 17. Yep, Groovy! Are people writing Gradle plugins in Groovy? Or is Grails having a resurgence? I’m as baffled as you are. - Source: dev.to / about 3 years 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
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
RabbitMQ - RabbitMQ is an open source message broker software.
Django - The Web framework for perfectionists with deadlines
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
Meteor - Meteor is a set of new technologies for building top-quality web apps in a fraction of the time.
Amazon SQS - Amazon Simple Queue Service is a fully managed message queuing service.