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Spring Batch vs Spring Framework: What are the differences?


Spring Batch and Spring Framework are both popular Java frameworks used for building enterprise-level applications. While Spring Framework is a comprehensive framework that provides support for various application development tasks, Spring Batch is specifically designed for batch processing activities. Despite belonging to the same family, there are several key differences between these two frameworks that are worth considering. This article aims to highlight the primary differences between Spring Batch and Spring Framework.

  1. Design Purpose: Spring Framework is a general-purpose framework that offers a wide range of features and utilities for developing applications of all types. It provides a comprehensive set of components and modules for web development, data access, transaction management, and more. On the other hand, Spring Batch is specifically designed to automate and simplify the processing of large volumes of data in batch jobs. It focuses on managing the batch processing lifecycle, handling restartability, and handling exceptions while executing large-scale data-oriented tasks.

  2. Focus on Batch Processing: Spring Batch puts a strong emphasis on batch processing activities such as reading data from various sources, processing it, and writing it back to different destinations. It provides built-in components for chunk-based processing, parallel execution, and transactional management in batch scenarios. In contrast, Spring Framework does not focus explicitly on batch processing, but rather on providing a broader set of features and tools for application development.

  3. Job and Step Abstractions: Spring Batch introduces the concepts of jobs and steps to handle batch processing. A job represents a unit of work that can consist of one or more steps, while each step defines a specific processing task. Spring Batch's job and step abstractions provide mechanisms for managing the execution of batch jobs, such as handling dependencies and controlling the flow of processing steps. In Spring Framework, there is no dedicated concept of jobs and steps for managing batch processing tasks.

  4. Declarative vs Imperative: Spring Batch encourages a declarative programming style where batch processing logic is configured through XML or Java configuration files. Developers can define the workflow, data sources, processors, and writers using high-level configurations. In contrast, Spring Framework allows developers to use both declarative and imperative programming styles, giving more flexibility in application development.

  5. Scalability and Performance Considerations: Spring Batch addresses scalability and performance concerns associated with batch processing. It provides features like parallel execution, partitioning, and job restartability to handle large volumes of data efficiently. Spring Framework, being a more general-purpose framework, does not have the same level of built-in features for optimizing batch processing performance.

  6. Ecosystem and Community Support: Spring Framework has a larger ecosystem and a strong community support, making it more suitable for general-purpose application development. It has a wide range of integrations, libraries, and extensions available. However, Spring Batch also has its own dedicated community and ecosystem, focusing specifically on batch processing, and provides extensions and integrations with other Spring technologies.

In summary, Spring Batch and Spring Framework differ in their design purpose, focus, abstractions, programming styles, scalability considerations, and ecosystem support. While Spring Framework is a comprehensive framework for general application development, Spring Batch is specialized for managing batch processing tasks efficiently.

Advice on Spring Batch and Spring Framework
Needs advice
Spring FrameworkSpring Framework

Hi there, I'm deciding the technology to use in my project.

I need to build software that has:

  • Login
  • Register
  • Main View (access to a user account, News, General Info, Business hours, software, and parts section).
  • Account Preferences.
  • Web Shop for Parts (Support, Download Sections, Ticket System).

The most critical functionality is a WebSocket that connects between a car that sends real-time data through serial communication, and a server performs diagnosis on the car and sends the results back to the user.

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Replies (4)

You can use NestJs with microservice architecture.where you can also use for web socket. you can use MongoDB (For real-time data) & MySQL for customer management.if you don't want to implement can use gives realtime database & firestore.which can handle millions of connections and scale it up.

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Mohammad-Ali A'râbi
Software Engineer at AppTec GmbH · | 5 upvotes · 219.4K views

I would also go with NestJS. I would say Java is unnecessarily complicated and limited. And Python is not typed. TypeScript is powerful and typed and goes well with NestJS, especially using RxJS.

Django does not enforce backend-frontend separation, which probably was a good thing back in the days, but not anymore. But on the other hand enforces the project structure to you, which I don't like.

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Amit Parameshwar
NodeJS Intern at CartRabbit · | 3 upvotes · 575.3K views

Just a simple Node.JS app with templating engine for UI can be sufficient for what you want to achieve.

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Spring FrameworkSpring Framework

Spring boot with Spring Security[JWT], Websocket, Thymeleaf or Mustache, and styling with Bootstrap.

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What is Spring Batch?

It is designed to enable the development of robust batch applications vital for the daily operations of enterprise systems. It also provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management.

What is Spring Framework?

It provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform. The framework's core features can be used by any Java application, but there are extensions for building web applications on top of the Java EE platform.

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What are some alternatives to Spring Batch and Spring Framework?
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.
It is an open source software integration platform helps you in effortlessly turning data into business insights. It uses native code generation that lets you run your data pipelines seamlessly across all cloud providers and get optimized performance on all platforms.
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.
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.
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
See all alternatives