Design Microservices Architecture with Patterns and Principles - Fetching Data with REST and GraphQL

The video tutorial compares REST and GraphQL APIs using a blogging application example. It explains how REST requires multiple requests to fetch data, leading to overfetching, while GraphQL allows for a single request with precise data requirements, avoiding unnecessary data retrieval. The tutorial highlights the efficiency and structure of GraphQL queries compared to REST.

What is the main purpose of comparing REST and GraphQL APIs in the context of a blogging application?

• To understand how to fetch multiple data types

• To compare the security features of both APIs

• To determine which API is faster

• To learn how to design a blogging application

When using REST APIs, why is it necessary to make multiple requests?

• To fetch data from different endpoints

• To improve data security

• To reduce server load

• To ensure data accuracy

What is a significant drawback of using REST APIs as mentioned in the video?

• Increased server costs

• Complex query syntax

• Overfetching of unnecessary data

• Limited data types

How does GraphQL improve the data fetching process compared to REST?

• By reducing server response time

• By using multiple requests

• By allowing clients to specify exact data needs

• By increasing data security

What is a key feature of the server response in GraphQL?

• It is always in XML format

• It includes metadata about the request

• It is encrypted for security

• It follows the nested structure defined in the query