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  1. Stackups
  2. Application & Data
  3. Languages
  4. Query Languages
  5. GraphQL vs TypeORM

GraphQL vs TypeORM

OverviewComparisonAlternatives

Overview

GraphQL
GraphQL
Stacks34.9K
Followers28.1K
Votes309
TypeORM
TypeORM
Stacks757
Followers813
Votes81
GitHub Stars36.0K
Forks6.5K

GraphQL vs TypeORM: What are the differences?

Introduction

This document outlines the key differences between GraphQL and TypeORM. GraphQL is a query language and runtime for APIs, whereas TypeORM is an Object Relational Mapping (ORM) library for TypeScript and JavaScript.

  1. 1. Query Language vs ORM Library: The first key difference between GraphQL and TypeORM is their purpose and functionality. GraphQL is primarily a query language that allows clients to efficiently and flexibly retrieve data from an API. It provides a unified interface to retrieve exactly the data that the client requests. On the other hand, TypeORM is an ORM library that facilitates the mapping of database objects to TypeScript or JavaScript classes. It allows developers to interact with databases using object-oriented programming techniques.

  2. 2. Data Retrieval and Manipulation: Another difference is the way data is retrieved and manipulated. With GraphQL, clients can specify the exact data they need by defining a query, and the server responds with only the requested data, eliminating over-fetching and under-fetching issues. In contrast, TypeORM provides APIs and methods for developers to perform various common database operations such as querying, inserting, updating, and deleting records.

  3. 3. Declarative vs Imperative: GraphQL is a declarative language, meaning that clients can specify the desired data structure and shape without needing to explicitly define the steps or commands to retrieve it. The server handles the execution of the query and returns the requested data. TypeORM, on the other hand, follows an imperative approach, where developers write explicit code to interact with the database, specifying the actions to be performed step by step.

  4. 4. Server-Centric vs Client-Centric: GraphQL is a server-centric technology, with the server responsible for processing and executing the client's queries. The server is responsible for resolving fields and relationships, aggregating data from various sources, and returning the result to the client. TypeORM, on the other hand, is a client-centric technology, where developers primarily use the library on the client-side to interact with databases. It provides a set of APIs specifically designed for querying and manipulating data on the client-side.

  5. 5. Execution Control: GraphQL provides fine-grained control over the execution of queries through its resolver functions. Developers can define resolver functions to handle specific fields and relationships, allowing for complex computations, data transformations, and business logic to be performed during the query execution. TypeORM, on the other hand, provides a more limited level of execution control, as the library primarily focuses on mapping database objects to JavaScript or TypeScript classes and executing predefined CRUD operations.

  6. 6. Language Agnostic vs TypeScript/JavaScript: GraphQL is designed to be language-agnostic, meaning it can be used with any programming language. This allows for a wide range of client implementations and backend server integrations. In contrast, TypeORM is specifically designed for TypeScript and JavaScript applications. It provides strong typing, decorators, and other language-specific features that enhance the development experience for projects using these languages.

In summary, GraphQL is a query language for APIs, providing a flexible and efficient way for clients to retrieve data from servers. TypeORM, on the other hand, is an Object Relational Mapping library that maps database objects to TypeScript or JavaScript classes, aiming to simplify database interactions for developers on the client-side.

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Detailed Comparison

GraphQL
GraphQL
TypeORM
TypeORM

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

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.

Hierarchical;Product-centric;Client-specified queries;Backwards Compatible;Structured, Arbitrary Code;Application-Layer Protocol;Strongly-typed;Introspective
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
-
GitHub Stars
36.0K
GitHub Forks
-
GitHub Forks
6.5K
Stacks
34.9K
Stacks
757
Followers
28.1K
Followers
813
Votes
309
Votes
81
Pros & Cons
Pros
  • 75
    Schemas defined by the requests made by the user
  • 63
    Will replace RESTful interfaces
  • 62
    The future of API's
  • 49
    The future of databases
  • 12
    Self-documenting
Cons
  • 4
    More code to type.
  • 4
    Hard to migrate from GraphQL to another technology
  • 2
    Takes longer to build compared to schemaless.
  • 1
    No support for caching
  • 1
    No built in security
Pros
  • 30
    Typescript
  • 12
    Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Ser
  • 9
    Cons of TypeORM
  • 9
    Easy setup
  • 7
    Promise Based
Cons
  • 5
    Completely abandoned by its creator
  • 3
    Too complex for what it does
  • 2
    Doesn't really support native javascript
  • 1
    Not proper/real type safety
  • 1
    Cannot use query on any relation

What are some alternatives to GraphQL, 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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