Software Alternatives & Reviews

Micronaut Framework VS Apache Spark

Compare Micronaut Framework VS Apache Spark and see what are their differences

Micronaut Framework logo Micronaut Framework

Build modular easily testable microservice & serverless apps

Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
  • Micronaut Framework Landing page
    Landing page //
    2022-02-01
  • Apache Spark Landing page
    Landing page //
    2021-12-31

Micronaut Framework videos

Micronaut Framework | Build Microservices with This JVM-Based Framework | Java Techie

Apache Spark videos

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Category Popularity

0-100% (relative to Micronaut Framework and Apache Spark)
Web Frameworks
100 100%
0% 0
Databases
0 0%
100% 100
Developer Tools
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Micronaut Framework and Apache Spark

Micronaut Framework Reviews

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Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...

Social recommendations and mentions

Based on our record, Apache Spark should be more popular than Micronaut Framework. 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.

Micronaut Framework mentions (36)

  • Javalin – a simple web framework for Java and Kotlin
    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
  • Spark – A web micro framework for Java and Kotlin
    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
  • Java 21 Released
    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 / 7 months ago
  • Java consumes 38x less energy than Python
    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
  • mlfx FXML compiler
    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: 11 months ago
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Apache Spark mentions (56)

  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    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 / about 2 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    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
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    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
  • Five Apache projects you probably didn't know about
    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 / 4 months ago
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
View more

What are some alternatives?

When comparing Micronaut Framework and Apache Spark, you can also consider the following products

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.

Quarkus - Quarkus: Supersonic Subatomic Java. . Contribute to quarkusio/quarkus development by creating an account on GitHub.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Javalin - Simple REST APIs for Java and Kotlin

Hadoop - Open-source software for reliable, scalable, distributed computing