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GraphQL Cache VS GraphQL

Compare GraphQL Cache VS GraphQL and see what are their differences

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GraphQL Cache logo GraphQL Cache

GraphQL provides a complete description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools.

GraphQL logo GraphQL

GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.
  • GraphQL Cache Landing page
    Landing page //
    2023-08-29
  • GraphQL Landing page
    Landing page //
    2023-08-01

GraphQL Cache features and specs

No features have been listed yet.

GraphQL features and specs

  • Efficient Data Retrieval
    GraphQL allows clients to request only the data they need, reducing the amount of data transferred over the network and improving performance.
  • Strongly Typed Schema
    GraphQL uses a strongly typed schema to define the capabilities of an API, providing clear and explicit API contracts and enabling better tooling support.
  • Single Endpoint
    GraphQL operates through a single endpoint, unlike REST APIs which require multiple endpoints. This simplifies the server architecture and makes it easier to manage.
  • Introspection
    GraphQL allows clients to query the schema for details about the available types and operations, which facilitates the development of powerful developer tools and IDE integrations.
  • Declarative Data Fetching
    Clients can specify the shape of the response data declaratively, which enhances flexibility and ensures that the client and server logic are decoupled.
  • Versionless
    Because clients specify exactly what data they need, there is no need to create different versions of an API when making changes. This helps in maintaining backward compatibility.
  • Increased Responsiveness
    GraphQL can batch multiple requests into a single query, reducing the latency and improving the responsiveness of applications.

Possible disadvantages of GraphQL

  • Complexity
    The setup and maintenance of a GraphQL server can be complex. Developers need to define the schema precisely and handle resolvers, which can be more complicated than designing REST endpoints.
  • Over-fetching Risk
    Though designed to mitigate over-fetching, poorly designed GraphQL queries can lead to the server needing to fetch more data than necessary, causing performance issues.
  • Caching Challenges
    Caching in GraphQL is more challenging than in REST, since different queries can change the shape and size of the response data, making traditional caching mechanisms less effective.
  • Learning Curve
    GraphQL has a steeper learning curve compared to RESTful APIs because it introduces new concepts such as schemas, types, and resolvers which developers need to understand thoroughly.
  • Complex Rate Limiting
    Implementing rate limiting is more complex with GraphQL than with REST. Since a single query can potentially request a large amount of data, simple per-endpoint rate limiting strategies are not effective.
  • Security Risks
    GraphQL's flexibility can introduce security risks. For example, improperly managed schemas could expose sensitive information, and complex queries can lead to denial-of-service attacks.
  • Overhead on Small Applications
    For smaller applications with simpler use cases, the overhead introduced by setting up and maintaining a GraphQL server may not be justified compared to a straightforward REST API.

GraphQL Cache videos

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GraphQL videos

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REST vs. GraphQL: Critical Look

More videos:

  • Review - REST vs GraphQL - What's the best kind of API?
  • Review - What Is GraphQL?

Category Popularity

0-100% (relative to GraphQL Cache and GraphQL)

GraphQL Cache

GraphQL

Databases
100 100%
Databases
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
JavaScript Framework
0 0%
JavaScript Framework
100% 100

User comments

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Social recommendations and mentions

Based on our record, GraphQL seems to be a lot more popular than GraphQL Cache. While we know about 245 links to GraphQL, we've tracked only 4 mentions of GraphQL Cache. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

GraphQL Cache mentions (4)

  • What are the Differences between GQL and REST?
    'id' data type and field to help support caching: https://graphql.org/learn/caching/. Source: over 2 years ago
  • GraphQL Is a Trap?
    > Take a look at this. I repeat: client-side caching is not a problem, even with GraphQL. The technical problems regarding GraphQL's blockers to caching lies in server-side caching. For server-side caching, the only answer that GraphQL offers is to use primary keys, hand-wave a lot, and hope that your GraphQL implementation did some sort of optimization to handle that corner case by caching results. Don't take my... - Source: Hacker News / almost 3 years ago
  • GraphQL Is a Trap?
    > Checkout Relay.js: https://relay.dev/ Relay is a GraphQL client. That's the irrelevant side of caching, because that can be trivially implemented by an intern, specially given GraphQL's official copout of caching based on primary keys [1], and doesn't have any meaningful impact on the client's resources. The relevant side of caching is server-side caching: the bits of your system that allow it to fulfill... - Source: Hacker News / almost 3 years ago
  • Designing a URL-based query syntax for GraphQL
    This is clever! Can anyone help me understand how this lines up with the original value proposition of GraphQL? I was under the impression that the Big Idea behind GraphQL was, amongst other things, client-side caching[1]. I’m probably missing some nuance here, so bear with me: if your GraphQL client is caching properly, then what would this syntax give a developer that a URL query parameter parser couldn’t? [1]... - Source: Hacker News / almost 4 years ago

GraphQL mentions (245)

  • 🚀 REST API vs. GraphQL: Which One Should You Use in 2025?
    📌 Learn more about GraphQL: https://graphql.org/. - Source: dev.to / about 1 month ago
  • Next.js vs Nest.js: What to Choose in 2025?
    Nest.js has been most widely adopted in developing back-end applications such as RESTful APIs, GraphQL services, and microservices. With its modular design, this framework is well and truly set for large project management; it allows for smooth and efficient performance through built-in features such as dependency injection and strong middleware support. - Source: dev.to / 2 months ago
  • The Power of GraphQL: A Beginner’s Guide to Modern Web Development
    Overview: Managing data efficiently is crucial for delivering smooth user experiences in today's fast-paced digital world. One technology that has revolutionized data handling in web development is GraphQL. This query language for APIs has transformed the way developers interact with data sources, offering flexibility, efficiency, and speed. - Source: dev.to / 3 months ago
  • Advantages of search databases
    To address the challenge about adding new filters and stuff in the API, there were attempts to optimize the process using tools and standards like Apicalypse and, of course, GraphQL. - Source: dev.to / 4 months ago
  • My Journey Deploying an API: From Novice to Docker Enthusiast
    Last Month (December 2024), I was tasked to deploy my organization's backend API—a task I had never attempted before. Armed with AWS server credentials and no prior experience, I relied on documentation and online resources to guide me through the setup. Testing the application locally went smoothly, but upon deployment, I hit a major snag: the GraphQL endpoint failed to respond, though the rest of the application... - Source: dev.to / 4 months ago
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What are some alternatives?

When comparing GraphQL Cache and GraphQL, you can also consider the following products

Ehcache - Java's most widely used cache.

Next.js - A small framework for server-rendered universal JavaScript apps

Apache Ignite - high-performance, integrated and distributed in-memory platform for computing and transacting on...

gRPC - Application and Data, Languages & Frameworks, Remote Procedure Call (RPC), and Service Discovery

Hazelcast - Clustering and highly scalable data distribution platform for Java

React - A JavaScript library for building user interfaces

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