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Spark Framework
Spark Framework

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What is Spark Framework?

It is a simple and expressive Java/Kotlin web framework DSL built for rapid development. Its intention is to provide an alternative for Kotlin/Java developers that want to develop their web applications as expressive as possible and with minimal boilerplate.

What is Spring?

A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.
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Why do developers choose Spark Framework?
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    What are some alternatives to Spark Framework and Spring?
    Apache Spark
    Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
    The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
    Spring Boot
    Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.
    Express is a minimal and flexible node.js web application framework, providing a robust set of features for building single and multi-page, and hybrid web applications.
    Flask is intended for getting started very quickly and was developed with best intentions in mind.
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    Decisions about Spark Framework and Spring
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    How developers use Spark Framework and Spring
    Avatar of datapile
    datapile uses SpringSpring

    Spring is another gift rained down by the gods of Open Source Software (a.k.a. Pivotal Labs in this particular case) that just makes sense on all levels.

    From Spring Boot, to SpringMVC, the configuration architecture & profile paradigm, Spring Cloud expandability, to the ease with which one can deploy Spring applets as microservices within Docker is an absolute joy.

    Avatar of Giovanni Candido da Silva
    Giovanni Candido da Silva uses SpringSpring

    The core of the application use Spring Stack, to provide services and structure like:

    • Persistence
    • REST
    • Email
    • Security
    • Self contained application with spring boot
    • And many others.
    Avatar of Kang Hyeon Ku
    Kang Hyeon Ku uses SpringSpring

    κ·Έλƒ₯ κ°„λ‹¨ν•œ MVC μ›Ή ν”„λ ˆμž„ μ›Œν¬ 인쀄 μ•Œμ•˜λŠ”λ° 정말 λͺ¨λ“ˆν™”κ°€ 잘 되있고, μ‚¬μš©ν•˜λ‹€λ³΄λ©΄ κ°œλ°œμžμ—κ²Œ 정말 νŽΈλ¦¬ν•˜κ²Œ λ§Œλ“€μ–΄ λ†“μ•˜λ‹€. vaildation 뢀뢄은 λ”°λ‘œ 처리 ν•  수 있고, νŒŒλΌλ―Έν„° λ‹΄λŠ” λ³€μˆ˜μ™€ λ””ν΄νŠΈ 값을 인자둜 μ„€μ •ν•΄ μ£ΌλŠ” 뢀뢄도 μ°Έ 쒋은 것 κ°™λ‹€. 또 spring-data λŠ” jpa ν™œμš©ν•΄ λΉ λ₯΄κ²Œ κ°œλ°œν•˜λŠ”λ° μœ μš©ν•˜λ‹€.

    Avatar of ByeongGi
    ByeongGi uses SpringSpring
    • SpringFramework 쀑 MVC , AOP λ“±μ˜ 라이브러리λ₯Ό ν™œμš©ν•˜μ—¬ μ›Ή μ–΄ν”Œλ¦¬μΌ€μ΄μ…˜ ν”„λ‘œμ νŠΈ ꡬ성
    • 곡톡 둜직 κ΅¬ν˜„ 및 λ³΄μ•ˆ 처리 κ°€λŠ₯

    • Spring5μ—μ„œ μ§€μ›ν•˜λŠ” ν•¨μˆ˜ν˜• ν”„λ‘œκ·Έλž˜λ° κ²½ν—˜ 있음

    Avatar of Ralic Lo
    Ralic Lo uses SpringSpring

    Used Spring Boot and its ORM to interacting with database server for web application development.

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