StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Frameworks
  4. Frameworks
  5. COBOL vs Spring

COBOL vs Spring

OverviewDecisionsComparisonAlternatives

Overview

Spring
Spring
Stacks3.9K
Followers4.8K
Votes1.1K
GitHub Stars59.1K
Forks38.8K
COBOL
COBOL
Stacks130
Followers147
Votes2

COBOL vs Spring: What are the differences?

Introduction: This Markdown document outlines the key differences between COBOL and Spring in a concise format. Each point is specific and focused on highlighting the distinct characteristics of both technologies.

  1. Language vs. Framework: COBOL is a programming language primarily used for business, finance, and administrative systems, while Spring is a framework for building enterprise applications in Java. COBOL focuses on data processing and has been around since the 1950s, while Spring is a more modern framework designed to simplify Java development.

  2. Syntax and Use Cases: COBOL uses a verbose syntax that is tailored for batch processing and data manipulation, whereas Spring provides a more concise and modular approach to building web applications and services. COBOL is often used in mainframe environments, while Spring is popular in the world of Java-based web development.

  3. Community and Support: COBOL has a smaller and more specialized community of developers due to its legacy status, while Spring benefits from a large and active community that contributes to the ongoing development and improvement of the framework. This community support can make a significant difference in terms of available resources, documentation, and best practices.

  4. Integration and Interoperability: COBOL can be challenging to integrate with modern technologies and systems due to its legacy nature, whereas Spring provides seamless integration with a wide range of technologies and libraries through its flexible architecture. Spring's focus on interoperability and modularity makes it easier to work with diverse environments and platforms.

  5. Development Environment: COBOL development often requires specialized tools and mainframe infrastructure, which can be costly and complex to set up, while Spring development can be done using popular IDEs like IntelliJ IDEA or Eclipse, offering a more accessible and user-friendly development experience. Spring's emphasis on developer productivity and ease of use can lead to faster development cycles and reduced learning curve.

  6. Versatility and Future-proofing: COBOL is predominantly used in specific industries such as banking and insurance, limiting its versatility and long-term viability, whereas Spring's broad applicability across different industries and the continuous evolution of the Java ecosystem ensure its relevance and adaptability to changing technology trends. Spring's focus on flexibility and scalability allows developers to future-proof their applications and adapt to new requirements easily.

In Summary, the key differences between COBOL and Spring lie in their fundamental nature as a language versus a framework, their syntax and use cases, community support, integration capabilities, development environments, and long-term viability in the rapidly evolving technology landscape.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on Spring, COBOL

Kamrul
Kamrul

Aug 16, 2020

Needs adviceonDjangoDjangoSpring BootSpring Boot

I am a graduate student working as a software engineer in a company. For my personal development, I want to learn web development. I have some experience in Springboot while I was in university. So I want to continue with spring-boot, but I heard about Django. I'm reaching out to the experts here to help me choose a future proof framework. Django or Spring Boot?

Thanks in Advance

502k views502k
Comments
Asheesh
Asheesh

Dec 29, 2019

Needs advice

Hi, I am new to backend development and trying to make a decision about whether I should choose Nodejs or Spring Boot for a backend developer role. I have done 5 years of Android development and find using Java much better than javascript. Please advise why one is better over others and which one is good for the long term, also please highlight the job opportunities for both.

39.1k views39.1k
Comments

Detailed Comparison

Spring
Spring
COBOL
COBOL

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.

COBOL was one of the first programming languages to be standardised: the first COBOL standard was issued by ANSI in 1968. COBOL is primarily used in business, finance, and administrative systems for companies and governments.

Statistics
GitHub Stars
59.1K
GitHub Stars
-
GitHub Forks
38.8K
GitHub Forks
-
Stacks
3.9K
Stacks
130
Followers
4.8K
Followers
147
Votes
1.1K
Votes
2
Pros & Cons
Pros
  • 230
    Java
  • 157
    Open source
  • 136
    Great community
  • 123
    Very powerful
  • 114
    Enterprise
Cons
  • 15
    Draws you into its own ecosystem and bloat
  • 4
    Poor documentation
  • 3
    Java
  • 3
    Verbose configuration
  • 2
    Java is more verbose language in compare to python
Pros
  • 2
    Business Oriented Language
Cons
  • 2
    Extremely long code for simple functions
Integrations
Java
Java
No integrations available

What are some alternatives to Spring, COBOL?

Node.js

Node.js

Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.

JavaScript

JavaScript

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

Python

Python

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

Rails

Rails

Rails is a web-application framework that includes everything needed to create database-backed web applications according to the Model-View-Controller (MVC) pattern.

PHP

PHP

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

Django

Django

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.

Ruby

Ruby

Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.

Laravel

Laravel

It is a web application framework with expressive, elegant syntax. It attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as authentication, routing, sessions, and caching.

Java

Java

Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!

Golang

Golang

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase