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Graphql and Mongodb which database are best and why?

Graphql and Mongodb which database are best and why?

@Graphql  @ mongodb  @ database  @ best  

Intro GraphQL

Learn about GraphQL, how it works, and how to use it in this series of articles. Looking for documentation on how to build a GraphQL service? There are libraries to help you implement GraphQL in many different languages. For an in-depth learning experience with practical tutorials, visit the How to GraphQL fullstack tutorial website.GraphQL (Graph Query Language) is an open source data Query and Manipulation Language built on using the Graph Data Structure.

GraphQL has 3 pimary operations:

  1. Query: Read data.
  2. Mutation: Write data.
  3. Subscription: Observe Event and automatically send data.

This can result in performance benefits as well writing less code. Additionally, REST architecture uses GET, POST, PUT, DELETE, and etc. to query or modify data. GraphQL does these actions, but in a different way using Queries and Mutations. Although this difference isn’t really advantageous, it’s notably worth mentioning.The best Advantages are GraphQL is no need to create rest api.GraphQL magage Rest data client side to pass parameter of GraphQL then GraphQL create algorithm and return client side data.


Intro MongoDB

MongoDB is an open-source document database and leading NoSQL database. MongoDB is written in C++. This tutorial will give you great understanding on MongoDB concepts needed to create and deploy a highly scalable and performance-oriented database.

Advantages of MongoDB

  • Schema less 

  • Structure of a single object is clear.

  • No complex joins.

  • Deep query-ability. MongoDB supports dynamic queries on documents using a document-based query language that's nearly as powerful as SQL.

  • Tuning.

  • Ease of scale-out.

  • Conversion/mapping of application objects to database objects not needed.

  • Uses internal memory for storing the (windowed) working set, enabling faster access of data.


Why use MongoDB

Mongodb is a Document Oriented Storage − Data is stored in the form of JSON style documents.

  • Replication and high availability

  • Auto-sharding

  • Rich queries

  • Fast in-place updates

  • Professional support by MongoDB


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