- Why is OData bad?
- Is GraphQL difficult?
- Is GraphQL worth learning?
- Why GraphQL is a bad idea?
- Why should I use GraphQL?
- Is GraphQL easy to learn?
- Is GraphQL faster than rest?
- Is GraphQL overkill?
- Is GraphQL the future?
- Does GraphQL replace SQL?
- What companies use GraphQL?
- Is GraphQL an API?
- What problem does GraphQL solve?
- How is GraphQL different from rest?
- Is GraphQL JSON?
- Does GraphQL use HTTP?
- Is GraphQL a database?
- Is GraphQL frontend or backend?
- Is GraphQL better than rest?
- Can I use GraphQL with REST API?
Why is OData bad?
The dangers of a “magic box” A more technical concern with OData is that it encourages poor development and API practices by providing a black-box framework to enforce a generic repository pattern.
OData tends to give rise to very noisy method outputs with a metadata approach that feels more like a WSDL than REST..
Is GraphQL difficult?
GraphQL is an alternative to REST for developing APIs, not a replacement. The main feature of GraphQL is to be able to send a query specifying only the information you need and get exactly that. And it is not difficult to implement.
Is GraphQL worth learning?
It’s definitely worth a learn, at least writing queries anyway. Things like Gatsby run on GraphQL, with data coming from a surprising variety of sources. For example, all the challenges in the FCC curriculum are written in markdown format, and GraphQL is used to restructure those files into the challenge pages you see.
Why GraphQL is a bad idea?
GraphQL is famously bad at caching, mostly because the alternatives (REST and Falcor) make caching at all levels so easy and efficient. GraphQL is bad at sending anything other than text back and forth (such as file uploads) while REST APIs can do literally anything.
Why should I use GraphQL?
GraphQL allows making multiple resources request in a single query call, which saves a lot of time and bandwidth by reducing the number of network round trips to the server. It also helps to save waterfall network requests, where you need to resolve dependent resources on previous requests.
Is GraphQL easy to learn?
A well-designed API is very easy to use and learn. It’s also intuitive, a good point to keep in mind when you’re starting to design your API. To solve these problems, Facebook created GraphQL. … Since GraphQL is open-source, its community has grown huge.
Is GraphQL faster than rest?
GraphQL vs REST comparison GraphQL solves both over-fetching and under-fetching issues by allowing the client to request only the needed data; Since the client now has more freedom in the fetched data, development is much faster with GraphQL than what it would be with REST.
Is GraphQL overkill?
Overkill for small applications While GraphQL is the right solution for multiple micro-services, a simple REST API can be better in case you have a service that exposes a really simple API\not API-centric. … Take into consideration future needs, it might change if your app is intended to grow.
Is GraphQL the future?
The fact that GraphQL is an open source query language means that the community can contribute to it and make improvements to it. When Facebook released it to the community, it gained a lot of traction and approval from developers.
Does GraphQL replace SQL?
GraphQL is an alternative to REST, not SQL. GraphQL is not SQL! Instead, GraphQL is data-agonistic, and GraphQL, being one of the possible and most popular way, uses SQL to fetch data.
What companies use GraphQL?
1300 companies reportedly use GraphQL in their tech stacks, including Facebook, Instagram, and Twitter.Facebook.Instagram.Twitter.Shopify.StackShare.Stack.Tokopedia.The New York Times.
Is GraphQL an API?
GraphQL is a query language and server-side runtime for application programming interfaces (APIs) that prioritizes giving clients exactly the data they request and no more. GraphQL is designed to make APIs fast, flexible, and developer-friendly.
What problem does GraphQL solve?
Using GraphQL we can minimize data fetching and improve the performance of our REST API especially in case of slow network connection. There’s also a problem with under-fetching of information. To fetch relational data we need too many requests in the server or large object with unnecessary data.
How is GraphQL different from rest?
The Core Difference Between REST APIs and GraphQL A REST API is an architectural concept for network-based software. GraphQL, on the other hand, is a query language, a specification, and a set of tools that operates over a single endpoint using HTTP.
Is GraphQL JSON?
GraphQL defines a standard grammar for a query language to read/write data. It kind of looks like a neater JSON with just the keys and allows you to pass arbitrary parameters in the query.
Does GraphQL use HTTP?
GraphQL is typically served over HTTP via a single endpoint which expresses the full set of capabilities of the service. This is in contrast to REST APIs which expose a suite of URLs each of which expose a single resource.
Is GraphQL a database?
GraphQL is often confused with being a database technology. This is a misconception, GraphQL is a query language for APIs – not databases. In that sense it’s database agnostic and can be used with any kind of database or even no database at all.
Is GraphQL frontend or backend?
GraphQL allows front-end developers to query and mutate the data without having to make requests for custom endpoints to back-end developers. Minimize the need for having backend developers perform low-value work.
Is GraphQL better than rest?
GraphQL reduces network requests by allowing us fetch or retrieve all the data we need in a single query. It is easy to fetch more than the data you need with REST, because each endpoint in a REST API has a fixed data structure which it is meant to return whenever it is hit.
Can I use GraphQL with REST API?
As GraphQL is just another POST endpoint, the REST APIs and GraphQL APIs can live together in one API.