What is GraphQL Will it Replace RESTFUL API

What is GraphQL?

Basically GraphQL is a Query language used to develop API’s, GraphQL is been developed by Meta(Facebook). It gives power to client to ask for any data as per client need, it provides ful described data in the API.

Usually GraphQL servers works as a middleware, it sits between client side and backend services to communicate data within.

It can aggregate multiple RESTfull API request into a single Query.

It also support various queries like, mutations(used for data modification before sending to front end client) and subsriptiions(schema modification on receiving notifications).

Different between RESTAPI and GraphQL

Organized in terms ofEnd PointSchema & type System
OperationsCRUD OperationQuery mutation Subscription
Data fetchingFixed data with multiple api callsSingle API call
PerformanceMultiple network calls will increase response timeFaster
Development speedMediumSuper Faster
Learning curveEasily to LearnDifficult to learn
Self – documentingNoYes
File UploadingSupportedNot Supported
Web CachingYesNo, caches. but using libraries we can.
Stabilitybetter choise for complex queriesless error prone, automatic validation
Use CasesSimple App’s monolithic architectureBest for microservices application, Mobile Applications

How GraphQL Query request

Will graphQL replace restful api

As you all hearing a lot boom about the popularity gain of GraphQL and it ability in building efficient, powerful & flexible API’s as compared with REST.

REST is a one among famous API development technology but after launch of GraphQL in 2015 by FACEBOOK(META), It got boom in market and many API developer are trying to get upgraded in this GraphQL.

Pros and Cons of RestAPIs and GraphQL


Supports different data formats (Html, JSON, etc.)An annoying and confusing pagination system
Resources efficiencyDifficulty to get issues general information
Better scalability


Eliminates over-fetching & under-fetching.Lacks built-in caching.
Provides consistent, uniform dataComplicated error handling.
Speeds up the development processLacks industry adoption & support.