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Based on our record, Apache Spark should be more popular than Javalin. It has been mentiond 56 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.
I'd recommend Javalin (https://javalin.io/) instead. Same idea, only executed better and it is actively maintained. - Source: Hacker News / 3 months ago
SparkJava has an actively developed fork/successor called Javalin[1]. It's straightforward to convert from SparkJava to Javalin. The latter is written in Kotlin, but works fine with ordinary Java. While the rest of the Java world was devolving into annotation hell, AOP and other nightmares, these Java microframeworks showcased what happens when you forego legacy Java and leverage modern Java language features... - Source: Hacker News / 3 months ago
The size statistics page is super cool: https://github.com/byronka/minum/blob/master/docs/size_comparisons.md Aside from that, I've also had good experiences with Dropwizard - which is way simpler than Spring Boot but at the same time uses a bunch of idiomatic packages (like Jetty, Jersey, Jackson, Logback and so on): https://www.dropwizard.io/en/stable/ I do wonder whether Minum would ever end up on the... - Source: Hacker News / 7 months ago
One of the most common web frameworks used is Spring Boot - here is their quickstart: https://spring.io/quickstart Newer alternatives are: https://micronaut.io/ and https://quarkus.io/ If you want to have something really simple look at Javalin: https://javalin.io/. - Source: Hacker News / 8 months ago
Counter-example: https://javalin.io/ uses Servlets, and seems to be doing quite fine without annotations. - Source: Hacker News / 9 months ago
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 2 months ago
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 months ago
Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 4 months ago
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
vert.x - From Wikipedia, the free encyclopedia
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Micronaut Framework - Build modular easily testable microservice & serverless apps
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Spark Framework - Spark Framework is a simple and lightweight Java web framework built for rapid development.
Hadoop - Open-source software for reliable, scalable, distributed computing