GraphQL vs. REST
Thread🧵👇
Thread🧵👇
📌 Introduction to GraphQL vs. REST
GraphQL and REST are two popular paradigms for designing and implementing APIs.
In this thread, we'll compare their characteristics, advantages, and disadvantages to help you choose the right approach for your API needs.
GraphQL and REST are two popular paradigms for designing and implementing APIs.
In this thread, we'll compare their characteristics, advantages, and disadvantages to help you choose the right approach for your API needs.
- REST (Representational State Transfer)
REST is an architectural style based on a set of constraints that dictate how resources are accessed and manipulated.
RESTful APIs use standard HTTP methods (GET, POST, PUT, DELETE) and rely on unique URLs to identify resources.
REST is an architectural style based on a set of constraints that dictate how resources are accessed and manipulated.
RESTful APIs use standard HTTP methods (GET, POST, PUT, DELETE) and rely on unique URLs to identify resources.
- GraphQL
GraphQL is a query language and runtime for APIs developed by Facebook.
It allows clients to request specific data fields and perform complex queries, with a single endpoint handling all requests and mutations.
GraphQL is a query language and runtime for APIs developed by Facebook.
It allows clients to request specific data fields and perform complex queries, with a single endpoint handling all requests and mutations.
1️⃣ Data Retrieval Flexibility
• REST: Clients are limited by predefined endpoints and response formats, which can result in over-fetching or under-fetching of data.
• REST: Clients are limited by predefined endpoints and response formats, which can result in over-fetching or under-fetching of data.
• GraphQL: Clients can request exactly the data they need, reducing the amount of unnecessary data transferred and improving efficiency.
2️⃣ API Versioning
• REST: Versioning is often required to maintain backward compatibility, leading to multiple endpoints or URL patterns for different versions.
• REST: Versioning is often required to maintain backward compatibility, leading to multiple endpoints or URL patterns for different versions.
• GraphQL: The flexible schema and type system allows for seamless API evolution without the need for versioning, reducing complexity for developers.
3️⃣ Real-Time Updates:
• REST: Real-time updates typically require implementing custom solutions like WebSockets or long-polling.
• REST: Real-time updates typically require implementing custom solutions like WebSockets or long-polling.
• GraphQL: Built-in support for subscriptions enables real-time updates, simplifying the development of applications that require live data synchronization.
That’s all for now!
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