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  1. Stackups
  2. Application & Data
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  5. GraphQL vs OpenAPI

GraphQL vs OpenAPI

OverviewComparisonAlternatives

Overview

GraphQL
GraphQL
Stacks34.9K
Followers28.1K
Votes309
OpenAPI
OpenAPI
Stacks696
Followers458
Votes6
GitHub Stars19.5K
Forks7.0K

GraphQL vs OpenAPI: What are the differences?

Introduction:

In website development, two popular technologies used for designing APIs are GraphQL and OpenAPI. While both offer solutions for building APIs, there are key differences between them. This Markdown code will outline these differences in a clear and concise manner.

  1. Data fetching: GraphQL allows clients to specify exactly what data they need and receive only that, reducing over-fetching and under-fetching of data. In contrast, OpenAPI follows a traditional RESTful approach where clients can only retrieve the pre-determined data structure defined by the server.

  2. Schema-driven vs documentation-driven: GraphQL is schema-driven, meaning the schema acts as the single source of truth for clients and servers. Clients can easily discover and understand the API's capabilities through the schema. On the other hand, OpenAPI is documentation-driven, requiring developers to write and maintain detailed documentation to describe the API's structure, operations, and parameters.

  3. Flexible querying: GraphQL allows clients to query multiple resources and related data in a single request, minimizing the number of round trips to the server. OpenAPI, on the other hand, requires clients to make separate requests for each resource, which can result in increased network overhead and latency.

  4. Versioning: GraphQL does not require explicit versioning as the schema is designed to evolve over time without breaking changes. Clients can request specific fields and modify the query as needed without depending on a specific version. In contrast, OpenAPI typically relies on versioning to handle modifications, and clients must update their requests to match the specific API version.

  5. Strong typing: GraphQL enforces a strong type system for APIs, enabling clients to validate their queries against the schema. This improves development efficiency by catching errors early. OpenAPI, on the other hand, allows for looser typing and does not provide the same level of validation against the API's structure and data types.

  6. Backend control: GraphQL empowers clients to control the shape and structure of the data they receive, abstracting away the backend implementation details. This provides more flexibility and reduces the need for backend changes when evolving the API. In contrast, OpenAPI puts more control on the backend, specifying the data structure and limiting the flexibility for clients to request only the necessary data.

In Summary, GraphQL offers flexible data fetching, schema-driven design, and versionless querying, while OpenAPI is documentation-driven, requires separate requests for each resource, and relies on explicit versioning.

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Detailed Comparison

GraphQL
GraphQL
OpenAPI
OpenAPI

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.

It is a publicly available application programming interface that provides developers with programmatic access to a proprietary software application or web service.

Hierarchical;Product-centric;Client-specified queries;Backwards Compatible;Structured, Arbitrary Code;Application-Layer Protocol;Strongly-typed;Introspective
-
Statistics
GitHub Stars
-
GitHub Stars
19.5K
GitHub Forks
-
GitHub Forks
7.0K
Stacks
34.9K
Stacks
696
Followers
28.1K
Followers
458
Votes
309
Votes
6
Pros & Cons
Pros
  • 75
    Schemas defined by the requests made by the user
  • 63
    Will replace RESTful interfaces
  • 62
    The future of API's
  • 49
    The future of databases
  • 12
    Get many resources in a single request
Cons
  • 4
    Hard to migrate from GraphQL to another technology
  • 4
    More code to type.
  • 2
    Takes longer to build compared to schemaless.
  • 1
    Works just like any other API at runtime
  • 1
    No support for caching
Pros
  • 1
    Supports caching
  • 1
    Supports authentication
  • 1
    Supports versioning
  • 1
    Easy to learn
  • 1
    The most popular api spec
Integrations
No integrations available
Stoplight
Stoplight
PayPal
PayPal
Kong
Kong
SAP HANA
SAP HANA
Talend
Talend
Mule runtime engine
Mule runtime engine

What are some alternatives to GraphQL, OpenAPI?

Postman

Postman

It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.

Paw

Paw

Paw is a full-featured and beautifully designed Mac app that makes interaction with REST services delightful. Either you are an API maker or consumer, Paw helps you build HTTP requests, inspect the server's response and even generate client code.

Karate DSL

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

Appwrite

Appwrite

Appwrite's open-source platform lets you add Auth, DBs, Functions and Storage to your product and build any application at any scale, own your data, and use your preferred coding languages and tools.

Runscope

Runscope

Keep tabs on all aspects of your API's performance with uptime monitoring, integration testing, logging and real-time monitoring.

Prisma

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

PostGraphile

PostGraphile

Execute one command (or mount one Node.js middleware) and get an instant high-performance GraphQL API for your PostgreSQL database

Insomnia REST Client

Insomnia REST Client

Insomnia is a powerful REST API Client with cookie management, environment variables, code generation, and authentication for Mac, Window, and Linux.

RAML

RAML

RESTful API Modeling Language (RAML) makes it easy to manage the whole API lifecycle from design to sharing. It's concise - you only write what you need to define - and reusable. It is machine readable API design that is actually human friendly.

OData

OData

It is an ISO/IEC approved, OASIS standard that defines a set of best practices for building and consuming RESTful APIs. It helps you focus on your business logic while building RESTful APIs without having to worry about the various approaches to define request and response headers, status codes, HTTP methods, URL conventions, media types, payload formats, query options, etc.

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