Micronaut Framework might be a bit more popular than Apache Flink. We know about 36 links to it since March 2021 and only 27 links to Apache Flink. 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.
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 23 days ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - 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
Due to the technology transformation we want to do recently, we started to investigate Apache Iceberg. In addition, the data processing engine we use in house is Apache Flink, so it's only fair to look for an experimental environment that integrates Flink and Iceberg. - Source: dev.to / 5 months ago
Micronaut has a share of the space too. https://micronaut.io/ However, you’re right that Spring Boot has the lions share of the Java ecosystem. - Source: Hacker News / 3 months ago
I've used vert.x in a big project once. I don't ever want to do that again. Performance is pretty good, but the developer experience is beyond clunky. My current favourite Java server framework is Micronaut. Great performance and easy to develop for! https://micronaut.io/. - Source: Hacker News / 3 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
I wonder how much you'd save with Micronaut: https://micronaut.io/ > Micronaut is a software framework for the Java virtual machine platform. It is designed to avoid reflection, thus reducing memory consumption and improving start times. Features which would typically be implemented at run-time are instead pre-computed at compile time. https://en.wikipedia.org/wiki/Micronaut_(framework) I don't think you'd go down... - Source: Hacker News / 10 months ago
I'd like to introduce my project. It is called mlfx. It can compile FXML ahead of time. It is basically an annotation processor, which internally uses Micronaut framework's AST abstraction and compiles fxml files directly to JVM bytecode. This decreases UI load time and also helps with native-image reflection configs. It also has some compliance tests that load compiled code and Check resulting object graph... Source: 12 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
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Quarkus - Quarkus: Supersonic Subatomic Java. . Contribute to quarkusio/quarkus development by creating an account on GitHub.
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.
Javalin - Simple REST APIs for Java and Kotlin