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GraphQL vs graphqurl: What are the differences?
**Introduction:**
GraphQL and graphqurl are both tools used in web development to work with GraphQL APIs. Despite having similar names, they have key differences that set them apart.
1. **Usage**: GraphQL is a query language for APIs that enables clients to request only the data they need, while graphqurl is a curl like CLI for GraphQL. It allows users to interact with a GraphQL server directly from the command line.
2. **Functionality**: GraphQL is used for defining and querying API schemas, providing a way for clients to ask for specific data without over-fetching, while graphqurl is more focused on providing a simplified way to make raw HTTP requests to GraphQL servers.
3. **Ease of Use**: GraphQL requires a schema to be defined in order to interact with the API, making it suitable for more structured and complex applications, whereas graphqurl is more straightforward and can be used quickly for ad-hoc requests without the need for setting up a schema.
4. **Interactivity**: With GraphQL, developers can create a strongly typed schema that defines data structure and relationships, providing better validation and type safety, while graphqurl does not offer the same level of interactivity and type checking.
5. **Built-in Features**: GraphQL comes with a set of tools and libraries for implementing APIs, handling subscriptions, and managing caching, offering a more comprehensive ecosystem for building GraphQL APIs, whereas graphqurl is a standalone tool that focuses solely on making HTTP requests to GraphQL servers.
6. **Community Support**: GraphQL has a large and active community of developers contributing to its growth and improvement, supported by companies like Facebook and GitHub, while graphqurl, being a specialized tool, may have less community support and resources available.
In Summary, GraphQL and graphqurl differ in usage, functionality, ease of use, interactivity, built-in features, and community support.
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Learn MorePros of GraphQL
Pros of graphqurl
Pros of GraphQL
- Schemas defined by the requests made by the user75
- Will replace RESTful interfaces63
- The future of API's62
- The future of databases49
- Self-documenting13
- Get many resources in a single request12
- Query Language6
- Ask for what you need, get exactly that6
- Fetch different resources in one request3
- Type system3
- Evolve your API without versions3
- Ease of client creation2
- GraphiQL2
- Easy setup2
- "Open" document1
- Fast prototyping1
- Supports subscription1
- Standard1
- Good for apps that query at build time. (SSR/Gatsby)1
- 1. Describe your data1
- Better versioning1
- Backed by Facebook1
- Easy to learn1
Pros of graphqurl
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Cons of GraphQL
Cons of graphqurl
Cons of GraphQL
- Hard to migrate from GraphQL to another technology4
- More code to type.4
- Takes longer to build compared to schemaless.2
- No support for caching1
- All the pros sound like NFT pitches1
- No support for streaming1
- Works just like any other API at runtime1
- N+1 fetch problem1
- No built in security1
Cons of graphqurl
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- No public GitHub repository available -
What is GraphQL?
GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
What is graphqurl?
Made by the team at hasura.io, graphqurl is a curl like CLI for GraphQL.
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What companies use GraphQL?
What companies use graphqurl?
What companies use GraphQL?
What companies use graphqurl?
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What tools integrate with GraphQL?
What tools integrate with graphqurl?
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What are some alternatives to GraphQL and graphqurl?
gRPC
gRPC is a modern open source high performance RPC framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking...
Falcor
Falcor lets you represent all your remote data sources as a single domain model via a virtual JSON graph. You code the same way no matter where the data is, whether in memory on the client or over the network on the server.
React
Lots of people use React as the V in MVC. Since React makes no assumptions about the rest of your technology stack, it's easy to try it out on a small feature in an existing project.
graphql.js
Lightest GraphQL client with intelligent features. You can download graphql.js directly, or you can use Bower or NPM.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.