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GraphQLBackend

A query language for APIs and a runtime for fulfilling those queries with your existing data.

Popularity
82%
Market Share
18.3%
Community
85%
Performance
88%
Founded: 2015
Creator: Facebook
Learning: Moderate
GraphQL

Overview

GraphQL is a query language for APIs and a runtime for executing those queries by using a type system you define for your data. It provides a complete and understandable description of the data in your API.

82%
Popularity
18.3%
Market Share
85%
Community
88%
Performance

Getting started

Prerequisites

Before getting started with GraphQL, ensure you have basic knowledge of backend development.

Set up a GraphQL server, define your schema, implement resolvers, and test queries using GraphiQL or Playground.

Key features

Declarative Data Fetching
Single Endpoint
Strong Typing
Real-time Updates
Efficient Data Loading
Introspection

Use cases

1

Complex Data Requirements

Ideal for building scalable and efficient complex data requirements solutions.

2

Mobile Applications

Ideal for building scalable and efficient mobile applications solutions.

3

Microservices

Ideal for building scalable and efficient microservices solutions.

4

Real-time Applications

Ideal for building scalable and efficient real-time applications solutions.

Pros and cons

Advantages

  • Efficient data loading
  • Single endpoint
  • Strong typing
  • Client-driven queries
  • Real-time capabilities
  • Introspective

Disadvantages

  • Complex caching
  • Learning curve
  • Potential over-fetching on complex queries
  • N+1 problem

Who's using GraphQL

GraphQL is trusted by industry leaders and innovative companies worldwide.

Facebook
GitHub
Shopify
Twitter
Netflix
Airbnb
Pinterest
PayPal

Ecosystem

GraphQL ecosystem includes Apollo and Relay clients, server implementations in various languages, tools like GraphiQL, and schema stitching solutions.

Best practices

Do's

  • Follow official documentation and guidelines
  • Implement proper error handling and logging
  • Use version control and maintain clean code
  • Write comprehensive tests for your applications
  • Keep dependencies updated and secure

Don'ts

  • Don't ignore security best practices
  • Don't skip testing and code reviews
  • Don't hardcode sensitive information
  • Don't neglect performance optimization
  • Don't use deprecated or outdated features

Design thoughtful schemas, implement proper error handling, use batching for performance, implement proper security, and document your API.

Get expert consultation

Connect with our GraphQL specialists to discuss your project requirements