- #Graphql vs rest performance how to
- #Graphql vs rest performance manual
- #Graphql vs rest performance code
The GraphQL stack might appear to be simple to get started with, but it gets complex quickly. Implementing a brand new solution with GraphQL comes with challenges to overcome and problems to solve. Writing GraphQL queries is just the tip of the iceberg. This is due to a self-documenting schema that’s easier to consume and has better tooling around consuming your endpoint. With GraphQL, you’ll get only the information you need. If optimizing for network requests is the most important factor, GraphQL would work better for you. The point here is you want to optimize for fewer network requests. If your application is reading 1MB of data locally, it can finish the job in 0.4 milliseconds - as opposed to reading it over the network, which can take 150 milliseconds - a drastic difference. With the right implementation of GraphQL, you can eliminate the ability to over-fetch. Fewer network calls in this scenario can be crucial for performance when this data needs to be retrieved in what are potentially many different and unknown situations. Having this granular control will allow you to have fewer network calls and will require fewer developmental changes on client applications, since responsibility has been shifted to backends.Īpplications can be informationally and visually heavy and also need to retrieve a variety of interconnected data. You have control over the query on a granular level, which is not something you can easily do with REST since it’s not made for that specific purpose. Whereas GraphQL gets exactly the data you want on an API call. For example, if you end up with URIs (uniform resource identifiers) and not the specific data you’re looking for, the network calls you need to make on your client to get what you need escalate quickly. Calls can result in either over-fetching or under-fetching based on the API contract.
#Graphql vs rest performance manual
With REST, there’s a lot of back and forth and manual work. We would rather rest easy with REST, build something that both excites and helps our users, and get their product in the hands of their friends and family with time-tested methods. Unless you’ve identified needs that GraphQL is especially good at solving, REST is the default choice for a good reason. Developers are likely to already know REST, whereas the same is not true for GraphQL. Not just because it’s easy, but because there is an expectation of shared familiarity. The default option would be REST, and it’s a good one. We knew the cost of implementing GraphQL was probably going to be exhaustive - we expected the move was not going to be a do-it-once-and-forget-it thing. It will force you to think in a certain way. A system that is ideal for all your use cases will demand a lot of your time and will require your team to learn a lot of new concepts. GraphQL is a different approach entirely, and it takes time and effort to create harmony.
#Graphql vs rest performance how to
It has the benefit of proven patterns on how to do something, and it is definitely a well-proven, time-tested way of writing applications. Hey Courier, what is the status of the last message I sent? Here is the ID since you don’t remember anything (stateless protocol so every request would provide precise input to query the state).Īdditionally, with REST, you share the complexity between client and server.Hey Courier, here is the payload (data), and I want to send a notification.The second is REST is ideal for quick transactional requests, like the following: The first is that most ORMs (object–relational mapping) are optimized to work with REST, so that is not a problem you will have to solve.
#Graphql vs rest performance code
No one wants to write complex code if they don’t have to, so it’s not hard to see why quick and easy REST beats complex and clever GraphQL in most situations. REST is the popular option, and for good reason: it’s quick to learn and implement. REST is a familiar option that can be implemented quickly The best way to evaluate GraphQL, REST, or any other technology is to figure out your constraints based on the problem you are going to solve. The question isn’t necessarily which one is better to use, but which one is better to use for specific circumstances. But the truth is they both address different problems and have different strengths and weaknesses.
There is a general understanding that either REST is better than GraphQL or vice versa. But you have to weigh the trade-offs and come up with a solution that is best for your situation. The fact is, whatever is newest and shiniest gets recommended more loudly. Most of the conclusions said, “use GraphQL.” It felt very binary (and trendy, for that matter), which is a problem because each product and use-case is unique. When I Googled “what is GraphQL” to learn more about the network protocols, all I saw was a comparison between REST and GraphQL.
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