Hadoop
Apache Spark
PostgreSQL
Apache Flink
Apache Cassandra
MongoDB
Apache Storm
Apache Kafka
Javalin
vert.x
Spark Framework
Micronaut Framework
helidon
Node.js
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Based on our record, Javalin should be more popular than Hadoop. It has been mentiond 33 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.
Did you check out tools like https://hadoop.apache.org/ ? Source: about 1 year ago
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago
There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 1 year ago
A copy of Hadoop installed on each of these machines. You can download Hadoop from the Apache website, or you can use a distribution like Cloudera or Hortonworks. - Source: dev.to / over 1 year ago
The Apache™ Hadoop™ project develops open-source software for reliable, scalable, distributed computing. - Source: dev.to / over 1 year ago
I'd recommend Javalin (https://javalin.io/) instead. Same idea, only executed better and it is actively maintained. - Source: Hacker News / 4 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 / 4 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 / 8 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 / 10 months ago
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
vert.x - From Wikipedia, the free encyclopedia
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
Spark Framework - Spark Framework is a simple and lightweight Java web framework built for rapid development.
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