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GraphQL vs Reactotron: What are the differences?
- Data Fetching: One key difference between GraphQL and Reactotron is their primary focus. GraphQL is primarily used for fetching data from APIs and structuring the data response, while Reactotron is focused on debugging and monitoring the behavior of React and React Native apps.
- Query Language vs Debugging Tool: Another notable difference is the role they play in the development process. GraphQL serves as a query language that allows front-end developers to request specific data from the server, while Reactotron aids developers in debugging their applications by providing insights into component states, actions, and network requests.
- Usage Scope: GraphQL is typically integrated into the front-end application codebase to handle data retrieval and manipulation, while Reactotron is a separate desktop application that is used alongside the development environment to assist in debugging and performance monitoring.
- Data Manipulation Capabilities: GraphQL enables developers to define the structure of the data they need and receive it in a single request, reducing over-fetching and under-fetching issues, whereas Reactotron extends its functionalities to component-centric inspection, network request tracking, and Redux state management.
- Real-time Monitoring: GraphQL does not provide real-time monitoring or debugging capabilities out of the box but focuses on efficient data querying, whereas Reactotron excels in real-time code inspection, allowing developers to track application state changes and network activity instantly during development.
- Development Workflow Integration: While GraphQL is often integrated into the application's data-fetching layer, Reactotron is seamlessly integrated into the debugging workflow, providing visual representations of application data flow and aiding in identifying and resolving issues quickly during development.
In summary, GraphQL primarily serves as a data querying language for APIs, while Reactotron is a desktop tool for debugging and monitoring React and React Native applications.
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Learn MorePros of GraphQL
Pros of Reactotron
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 Reactotron
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Cons of GraphQL
Cons of Reactotron
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 Reactotron
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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 Reactotron?
Plug it into your app as a dev dependency so it adds nothing to your product builds. Use it to: view your application state, show API requests & responses, perform quick performance benchmarks, and more.
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What companies use GraphQL?
What companies use Reactotron?
What companies use GraphQL?
What companies use Reactotron?
See which teams inside your own company are using GraphQL or Reactotron.
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What tools integrate with GraphQL?
What tools integrate with Reactotron?
What tools integrate with Reactotron?
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What are some alternatives to GraphQL and Reactotron?
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.