#Rest Api Vs Graphql Api

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#Rest Api Vs Graphql Api Reel by @kv__chacha - GraphQL or REST? Which one is better? 🧐 If you're building an API, you've probably asked yourself this. This animation makes the difference so easy
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@kv__chacha
GraphQL or REST? Which one is better? 🧐 If you're building an API, you've probably asked yourself this. This animation makes the difference so easy to understand! With REST, you often have to call many different "endpoints" to get your data. Sometimes, it sends back way more information than you actually need (over-fetching). With GraphQL, you have just one "endpoint." You tell it exactly what you want, and it gives you ONLY that. No extra data, no wasted time. 💡 Which one do you prefer using for your projects? Let’s talk in the comments! 👇 #graphql #restapi #webdevelopment #programming #coding tech backend softwareengineering
#Rest Api Vs Graphql Api Reel by @beyond_stack - Both REST and GraphQL are ways for applications to communicate with servers. . REST organizes APIs around resources and endpoints. . GraphQL organizes
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@beyond_stack
Both REST and GraphQL are ways for applications to communicate with servers. . REST organizes APIs around resources and endpoints. . GraphQL organizes APIs around queries and data needs. . With REST, the server decides what the response looks like. With GraphQL, the client decides what data it wants. . Different problems, different strengths. . That’s why modern systems often choose the approach that best fits their data complexity. . . . . . . Brought to you by @beyond_stack . . . [beyond stack, AI revolution, Instagram growth, IgReach, Explore, Instagram Hacks, Cloud Computing, Tech Tips, level up, Learn AI, Do it, Future of work, AI Tools, Prompt Engineering , Digital Skills] . . . #API #REST #GraphQL #SystemDesign #softwareengineering
#Rest Api Vs Graphql Api Reel by @coding_with_pal - Part 2: GraphQL 🚀 In Part 1, we saw how REST works. Now let's look at a different approach. Instead of multiple endpoints, GraphQL gives you one e
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@coding_with_pal
Part 2: GraphQL 🚀 In Part 1, we saw how REST works. Now let’s look at a different approach. Instead of multiple endpoints, GraphQL gives you one endpoint where you can ask for exactly the data you need. No over-fetching. No under-fetching. Just precise data. This is why modern apps prefer GraphQL for flexible and efficient data fetching. But is it always better than REST? 🤔 #systemdesign #backenddevelopment #graphql #restapi #softwareengineering programming coding developers techreels learncoding backend computerscience api webdevelopment codinglife api interview coding dsa
#Rest Api Vs Graphql Api Reel by @mertwithcode - GraphQL vs REST - Which one to use? 🤔💻 Learn the basics and start building your own API! 👉 #tech #coding #programming #graphql #rest #programming #
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@mertwithcode
GraphQL vs REST - Which one to use? 🤔💻 Learn the basics and start building your own API! 👉 #tech #coding #programming #graphql #rest #programming #engineering #development #tech #coding #graphql #rest #api #development #software #engineering #learn
#Rest Api Vs Graphql Api Reel by @softwarengineering - Use Graphql - 📦 When client needs flexible data Client can request exact fields → avoids over-fetching & under-fetching. 📱 Multiple clients with d
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@softwarengineering
Use Graphql - 📦 When client needs flexible data Client can request exact fields → avoids over-fetching & under-fetching. 📱 Multiple clients with different needs Mobile, web, tablet all need different data → GraphQL fits well. 🔗 When data comes from multiple services GraphQL can aggregate data from multiple microservices in one request. 📉 Reduce Multiple API Calls Instead of calling 3 REST APIs → one GraphQL query. ⚡ When network latency matters Fewer requests → better performance on slow networks. 🧩 Good for complex relationships Example: User → Orders → Items → Payments in one query. 🚫 When NOT to use GraphQL Simple CRUD APIs → REST is simpler and better. 🎯 Rule of Thumb Use REST for simple, stable APIs. Use GraphQL when clients need flexible, aggregated data #softwareengineering #systemdesign #interview
#Rest Api Vs Graphql Api Reel by @ravenaonai - REST vs GraphQL - Are you fetching the right data or just more data? 🤔 In modern application architecture, how you fetch data matters. Most systems
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@ravenaonai
REST vs GraphQL — Are you fetching the right data or just more data? 🤔 In modern application architecture, how you fetch data matters. Most systems still rely on REST APIs, but many modern platforms are adopting GraphQL for more flexible and efficient data access. Here’s the key difference 👇 🔴 REST • Multiple endpoints for different resources • Can lead to over-fetching or under-fetching • Strong HTTP caching support • Widely used and simple to implement 🔵 GraphQL • Single endpoint for queries • Clients request exactly the data they need • Reduces unnecessary network calls • Ideal for microservices and complex apps 💡 Rule of thumb Use REST when APIs are simple and stable. Use GraphQL when clients need flexible and dynamic queries. 📚 Learn more graphql.org/learn restfulapi.net The real question isn’t REST vs GraphQL. It’s what your architecture actually needs. Which one does your stack use more? 👇 #systemdesign #softwarearchitecture #graphql #restapi #backenddevelopment microservices programming techlearning developers codingcommunity
#Rest Api Vs Graphql Api Reel by @tech_tonic_s - ▶️ GraphQL is not universally overhyped; rather, it is a powerful tool designed to solve specific, complex problems that standard REST APIs handle les
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@tech_tonic_s
▶️ GraphQL is not universally overhyped; rather, it is a powerful tool designed to solve specific, complex problems that standard REST APIs handle less efficiently. The decision between REST and GraphQL depends entirely on the project's specific needs. ▶️ GraphQL was introduced as a modern alternative to REST, promising flexibility and efficiency. Instead of multiple endpoints returning fixed data structures (like REST), GraphQL uses a single endpoint where the client requests exactly the data it needs. ➡️ With REST: • Multiple endpoints • Fixed response format • Simple caching • Easier debugging • Mature ecosystem ➡️ With GraphQL: • Single endpoint • Client-controlled queries • Reduces over-fetching & under-fetching • Strong for complex frontends • Great for large-scale UI applications But here’s where the debate begins. GraphQL introduces additional backend complexity. Caching is harder. Query optimization requires careful design. Poorly written queries can create performance issues. Monitoring and debugging are also more involved compared to REST. The real answer? GraphQL is not overhyped — but it is often overused. #restapi #graphql #restvsgraphql #api #graphqlapi
#Rest Api Vs Graphql Api Reel by @learnwithwhiteboard - Confused about what is GraphQL? 🤔 This beginner-friendly video breaks down what GraphQL API is, difference between GraphQL and REST API, why use it,
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@learnwithwhiteboard
Confused about what is GraphQL? 🤔 This beginner-friendly video breaks down what GraphQL API is, difference between GraphQL and REST API, why use it, and why it’s changing the way developers build modern apps. Using simple analogies, real-world examples, and easy pseudocode, you’ll learn: - What is GraphQL explained with example - How GraphQL works (schema, query & resolver) - Why it solves REST’s over-fetching and under-fetching problems - How you can start using it in your next project If you found this helpful, hit 👍, subscribe for more dev explainers, and drop your questions in the comments below! #GraphQL #API #WebDevelopment #Backend #Programming #TechEducation #Coding #RESTAPI #REST #WebDesign #Frontend #Backend
#Rest Api Vs Graphql Api Reel by @dev_danny_ - REST API: 30 endpoints. GraphQL: 1 endpoint. The client decides. Day 9 of going deep on backend. #GraphQL #BackendDevelopment #SoftwareEngineer #WebD
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@dev_danny_
REST API: 30 endpoints. GraphQL: 1 endpoint. The client decides. Day 9 of going deep on backend. #GraphQL #BackendDevelopment #SoftwareEngineer #WebDevelopment #CodingJourney
#Rest Api Vs Graphql Api Reel by @darpan.decoded (verified account) - "REST APIs already work well… so why did companies like Facebook create GraphQL?" 🧠 𝗕𝗘𝗚𝗜𝗡𝗡𝗘𝗥 𝗘𝗫𝗣𝗟𝗔𝗡𝗔𝗧𝗜𝗢𝗡 Imagine ordering food at
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“REST APIs already work well… so why did companies like Facebook create GraphQL?” 🧠 𝗕𝗘𝗚𝗜𝗡𝗡𝗘𝗥 𝗘𝗫𝗣𝗟𝗔𝗡𝗔𝗧𝗜𝗢𝗡 Imagine ordering food at a restaurant. With REST, the waiter brings predefined combos. Sometimes you get too much food, sometimes not enough. With GraphQL, you build your own plate. You ask only for exactly what you want. ⚙️ 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗕𝗥𝗘𝗔𝗞𝗗𝗢𝗪𝗡 REST API Structure: /users /users/1 /users/1/posts Each endpoint returns fixed data. Problems: • Over-fetching (extra data) • Under-fetching (multiple requests needed) Example: User profile → user info + posts + followers Might require 3 API calls. GraphQL Single endpoint: /graphql Client defines exact data needed. Example query: user { name posts { title } } Server returns only requested fields. 🚀 𝗦𝗬𝗦𝗧𝗘𝗠 𝗟𝗘𝗩𝗘𝗟 𝗜𝗡𝗦𝗜𝗚𝗛𝗧 Use REST when: • simple APIs • caching via HTTP • clear resource structure • low complexity Use GraphQL when: • complex frontend data needs • mobile apps needing fewer requests • multiple services aggregated GraphQL shifts power to the client. But it increases server complexity. 🎯 𝗜𝗡𝗧𝗘𝗥𝗩𝗜𝗘𝗪 𝗙𝗟𝗘𝗫 REST exposes fixed resource-based endpoints, while GraphQL allows clients to request precisely structured data through a query-based API layer. 🔥 𝗙𝗜𝗡𝗔𝗟 𝗧𝗥𝗨𝗧𝗛 REST simplifies backend design. GraphQL simplifies frontend data fetching. Choose based on who should control the data shape. 👉 Follow @darpan.decoded Save this before your next backend or system design interview. #computerscience #systemdesign #coding #database #backend
#Rest Api Vs Graphql Api Reel by @coding_with_pal - Part 3: gRPC 🚀 In Part 1, we explored how REST APIs work. In Part 2, we saw how GraphQL gives flexible data fetching. Now let's look at something
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@coding_with_pal
Part 3: gRPC 🚀 In Part 1, we explored how REST APIs work. In Part 2, we saw how GraphQL gives flexible data fetching. Now let’s look at something different. gRPC is built for high-performance communication between services. Instead of JSON, it uses Protocol Buffers (binary format) — making it faster and more efficient. That’s why gRPC is widely used in microservices and internal systems where speed matters. #systemdesign #backenddevelopment #grpc #restapi #graphql softwareengineering programming coding developers techreels learncoding backend computerscience microservices apidesign

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