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

GraphQL vs JsonAPI

OverviewComparisonAlternatives

Overview

GraphQL
GraphQL
Stacks34.9K
Followers28.1K
Votes309
JsonAPI
JsonAPI
Stacks92
Followers105
Votes0

GraphQL vs JsonAPI: What are the differences?

What is GraphQL? A data query language and runtime. 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.

What is JsonAPI? A specification for building apis in json. t is a format that works with HTTP. A main goal of the specification is to optimize HTTP requests both in terms of the number of requests and the size of data packages exchanged between clients and servers.

GraphQL and JsonAPI can be categorized as "Query Languages" tools.

GraphQL is an open source tool with 11.7K GitHub stars and 753 GitHub forks. Here's a link to GraphQL's open source repository on GitHub.

According to the StackShare community, GraphQL has a broader approval, being mentioned in 561 company stacks & 750 developers stacks; compared to JsonAPI, which is listed in 8 company stacks and 3 developer stacks.

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Detailed Comparison

GraphQL
GraphQL
JsonAPI
JsonAPI

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.

t is a format that works with HTTP. A main goal of the specification is to optimize HTTP requests both in terms of the number of requests and the size of data packages exchanged between clients and servers.

Hierarchical;Product-centric;Client-specified queries;Backwards Compatible;Structured, Arbitrary Code;Application-Layer Protocol;Strongly-typed;Introspective
-
Statistics
Stacks
34.9K
Stacks
92
Followers
28.1K
Followers
105
Votes
309
Votes
0
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
    Get many resources in a single request
Cons
  • 4
    Hard to migrate from GraphQL to another technology
  • 4
    More code to type.
  • 2
    Takes longer to build compared to schemaless.
  • 1
    No support for caching
  • 1
    No built in security
No community feedback yet

What are some alternatives to GraphQL, JsonAPI?

Prisma

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

PostGraphile

PostGraphile

Execute one command (or mount one Node.js middleware) and get an instant high-performance GraphQL API for your PostgreSQL database

OData

OData

It is an ISO/IEC approved, OASIS standard that defines a set of best practices for building and consuming RESTful APIs. It helps you focus on your business logic while building RESTful APIs without having to worry about the various approaches to define request and response headers, status codes, HTTP methods, URL conventions, media types, payload formats, query options, etc.

Oracle PL/SQL

Oracle PL/SQL

It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features.

SQL

SQL

SQL is designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).

Graphene

Graphene

Graphene is a Python library for building GraphQL schemas/types fast and easily.

JSON API

JSON API

It is most widely used data format for data interchange on the web. This data interchange can happen between two computers applications at different geographical locations or running within same hardware machine.

graphql.js

graphql.js

Lightest GraphQL client with intelligent features. You can download graphql.js directly, or you can use Bower or NPM.

GraphQL Ruby

GraphQL Ruby

Get going fast with the graphql gem, battle-tested and trusted by GitHub and Shopify.

Trino

Trino

It is a fast distributed SQL query engine for big data analytics that helps you explore your data universe. It is designed to query large data sets distributed over one or more heterogeneous data sources.

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