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  1. Stackups
  2. Application & Data
  3. Microframeworks
  4. Microframeworks
  5. Spark Framework vs TypeORM

Spark Framework vs TypeORM

OverviewDecisionsComparisonAlternatives

Overview

Spark Framework
Spark Framework
Stacks39
Followers91
Votes7
GitHub Stars9.7K
Forks1.6K
TypeORM
TypeORM
Stacks756
Followers813
Votes81
GitHub Stars36.0K
Forks6.5K

Spark Framework vs TypeORM: What are the differences?

Spark Framework: A micro framework for creating web applications in Kotlin and Java 8 with minimal effort. 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; TypeORM: An ORM that can run in NodeJS and others. It supports both Active Record and Data Mapper patterns, unlike all other JavaScript ORMs currently in existence, which means you can write high quality, loosely coupled, scalable, maintainable applications the most productive way.

Spark Framework and TypeORM can be primarily classified as "Microframeworks (Backend)" tools.

TypeORM is an open source tool with 14.4K GitHub stars and 1.85K GitHub forks. Here's a link to TypeORM's open source repository on GitHub.

According to the StackShare community, TypeORM has a broader approval, being mentioned in 9 company stacks & 22 developers stacks; compared to Spark Framework, which is listed in 5 company stacks and 4 developer stacks.

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Advice on Spark Framework, TypeORM

Juan José
Juan José

May 1, 2020

Decided

I developed Hexagon heavily inspired in these great tools because of the following reasons:

  • Take full advantage of the Kotlin programming language without any strings attached to Java (as a language).
  • I wanted to be able to replace the HTTP server library used with different adapters (Jetty, Netty, etc.) and though right now there is only one, more are coming.
  • Have a complete tool to do full applications, though you can use other libraries, Hexagon comes with a dependency injection helper, settings loading from different sources and HTTP Client, so it comes with (batteries included).

Right now I'm using it for my pet projects, and I'm happy with it.

35.9k views35.9k
Comments

Detailed Comparison

Spark Framework
Spark Framework
TypeORM
TypeORM

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.

It supports both Active Record and Data Mapper patterns, unlike all other JavaScript ORMs currently in existence, which means you can write high quality, loosely coupled, scalable, maintainable applications the most productive way.

Built for productivity; Lets you take full advantage of the JVM
automatically create the database table schemes based on your models; transparently insert / update / delete to the database your objects; map your selections from tables to JavaScript objects and map table columns to object properties; easily create one-to-one, many-to-one, one-to-many and many-to-many relations between tables; and much more.
Statistics
GitHub Stars
9.7K
GitHub Stars
36.0K
GitHub Forks
1.6K
GitHub Forks
6.5K
Stacks
39
Stacks
756
Followers
91
Followers
813
Votes
7
Votes
81
Pros & Cons
Pros
  • 2
    Very easy to get up and running. Lovely API
  • 1
    Ideal for microservices
  • 1
    Native paralelization
  • 1
    Java
  • 1
    Fast
Pros
  • 30
    Typescript
  • 12
    Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Ser
  • 9
    Cons of TypeORM
  • 9
    Easy setup
  • 7
    Works in NodeJS, Browser, Ionic, Cordova and Electron p
Cons
  • 5
    Completely abandoned by its creator
  • 3
    Too complex for what it does
  • 2
    Doesn't really support native javascript
  • 1
    Cannot use query on any relation
  • 1
    Not proper/real type safety
Integrations
Kotlin
Kotlin
Java
Java
No integrations available

What are some alternatives to Spark Framework, TypeORM?

ExpressJS

ExpressJS

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.

Django REST framework

Django REST framework

It is a powerful and flexible toolkit that makes it easy to build Web APIs.

Sails.js

Sails.js

Sails is designed to mimic the MVC pattern of frameworks like Ruby on Rails, but with support for the requirements of modern apps: data-driven APIs with scalable, service-oriented architecture.

Sinatra

Sinatra

Sinatra is a DSL for quickly creating web applications in Ruby with minimal effort.

Lumen

Lumen

Laravel Lumen is a stunningly fast PHP micro-framework for building web applications with expressive, elegant syntax. We believe development must be an enjoyable, creative experience to be truly fulfilling. Lumen attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as routing, database abstraction, queueing, and caching.

Slim

Slim

Slim is easy to use for both beginners and professionals. Slim favors cleanliness over terseness and common cases over edge cases. Its interface is simple, intuitive, and extensively documented — both online and in the code itself.

Fastify

Fastify

Fastify is a web framework highly focused on speed and low overhead. It is inspired from Hapi and Express and as far as we know, it is one of the fastest web frameworks in town. Use Fastify can increase your throughput up to 100%.

Falcon

Falcon

Falcon is a minimalist WSGI library for building speedy web APIs and app backends. We like to think of Falcon as the Dieter Rams of web frameworks.

hapi

hapi

hapi is a simple to use configuration-centric framework with built-in support for input validation, caching, authentication, and other essential facilities for building web applications and services.

FeathersJS

FeathersJS

Feathers is a real-time, micro-service web framework for NodeJS that gives you control over your data via RESTful resources, sockets and flexible plug-ins.

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