Key Takeaways
According to a report, the market capitalization of companies that have adopted APIs has grown by more than 12% compared to those that have not adopted APIs.
GraphQL and REST are two popular approaches for building APIs, each with unique strengths and use cases. REST, a long-standing standard, uses predefined endpoints and HTTP methods for resource interaction, while GraphQL offers a more flexible query-based approach.
GraphQL enables clients to request exactly the data they need, addressing some limitations of REST. Both are powerful tools and the choice depends on the specific requirements of your application.
What is GraphQL?
GraphQL is an open-source language designed for querying and manipulating data in APIs. It acts as a runtime to process and fulfill data queries efficiently. Developed and supported by the GraphQL Foundation, it has been widely adopted across various industries, with notable organizations like Twitter, Expedia, Message Central and Shopify, leveraging its capabilities.
What is REST?
REST, or Representational State Transfer, is an architectural style for designing web services that adhere to specific constraints. RESTful APIs are web service APIs that comply with REST principles. It was developed as an alternative to SOAP APIs. Unlike SOAP, they are not limited to XML format and can provide responses in various data formats, such as JSON, XML and YAML, depending on the requirements.
Difference Between GraphQL and REST
GraphQL and REST differ significantly in their design principles and functionality. Here's an overview of the key differences
- Schema Enforcement
- GraphQL requires a defined schema, whether developers use a schema-first or code-first approach. With code-first, the schema is generated automatically from resolvers.
- REST does not mandate the use of a schema. Developers can implement schemas using tools like OpenAPI or AsyncAPI, but it’s optional and not a native feature.
- Popularity
- GraphQL was introduced by Facebook in 2015 and has rapidly grown in adoption. According to Postman’s 2023 State of the API report, around 29% of developers currently use GraphQL.
- REST is a long-established standard that has been widely used for decades. It remains the most popular API architecture, with 89% of developers relying on REST APIs.
- HTTP Status Codes
- GraphQL uses the 200 HTTP status code for all responses, including errors, with error details included in the response payload.
- REST utilizes standard HTTP status codes to indicate the success or failure of responses, simplifying error handling and debugging.
- Versioning
- GraphQL operates with a single versioned endpoint and manages changes through schema evolution and deprecation strategies, avoiding explicit versioning.
- REST typically requires versioning to accommodate changes or deprecations, often indicated in the API URL.
- Performance
- GraphQL allows clients to request exactly the data they need, avoiding over-fetching or under-fetching. This reduces unnecessary data transfer and optimizes performance.
- REST may result in over-fetching (receiving unnecessary data) or under-fetching (requiring multiple requests) based on endpoint design.
- Introspection
- GraphQL supports introspection, enabling clients to retrieve details about the schema, generate documentation and explore available queries and mutations.
- REST lacks built-in introspection support. However, specifications like OpenAPI and AsyncAPI can provide similar capabilities for documentation and query exploration.
GraphQL Benefits
GraphQL was designed to address some of the challenges posed by REST APIs, such as issues with over-fetching data. It offers a modern approach to data querying and manipulation, with the following benefits
- Single Endpoint
GraphQL consolidates all operations under one endpoint, simplifying the API's URL structure. This eliminates the need to manage multiple routes, making the API easier to maintain. This becomes much more crucial in cases like user authentication. Thus, it becomes necessary to select the best OTP SMS provider.
- Customizable Data Retrieval
Clients can define and request only the data they require, avoiding both over-fetching and under-fetching. This improves network efficiency by ensuring that only relevant data is transmitted.
- Strongly Typed Schema
GraphQL enforces a schema that clearly defines data types and their relationships. This schema acts as a guide, providing clients with a clear understanding of the available data structure.
- Built-In Introspection
GraphQL APIs are self-descriptive. Clients can query the schema to explore supported queries, mutations and fields, making it easier to understand and navigate the API's functionality.
REST Benefits
REST APIs offer numerous advantages that simplify the process of developing efficient and scalable APIs. Here are the key benefits
- Ease of Adoption
Developers who are already familiar with HTTP protocols can quickly understand and work with REST APIs, as they follow standard HTTP methods and conventions, making the learning curve minimal.
- Language Independence
REST APIs are highly versatile and can be implemented in any programming language that supports HTTP, without requiring additional frameworks or layers of communication.
- Established Community and Tools
REST has been a standard for over 30 years, resulting in a vast and active community. This has led to the development of a wide range of tools and resources that make working with REST APIs easier and more efficient.
- Consistency through Uniformity
The uniform design of REST ensures a predictable and consistent interface. This makes it easier to integrate and interact with various systems, streamlining development and reducing complexity.
GraphQL Use Cases
Here are some use cases of GraphQL
- Cloud Applications
REST APIs are highly effective for cloud applications due to their stateless nature. This allows components to be redeployed and scaled effortlessly in response to load changes, making them ideal for tasks like document sharing, storage, CRM and inventory management.
- Cloud Services
REST plays a crucial role in cloud services by providing control over URL decoding to connect services through APIs. With the rise of cloud computing and microservices, RESTful APIs have become a fundamental standard for modern application design.
- Web Applications
REST APIs are versatile and can be accessed from various platforms, including web projects, iOS apps, IoT devices or Windows Phones. This flexibility allows organizations to build robust infrastructure without being tied to a specific client-side technology stack.
REST Use Cases
Here are some use cases of REST
- Syncing CRM and ERP Systems
REST APIs can seamlessly connect a CRM with an ERP system. When a sales opportunity is closed in the CRM, the ERP is updated automatically with the client’s details. Bidirectional syncing ensures that sales reps are notified of invoicing issues flagged by finance without switching platforms.
- Automating User Provisioning and Deprovisioning
By linking your product with clients’ HRIS through REST APIs, you can automate user management tasks. New hires can be provisioned with appropriate access levels based on their roles, while departing employees are automatically deprovisioned, reducing manual errors and saving time.
- Enriching AI and ML Features with CRM Data
REST APIs can pull critical data from clients’ CRM systems into your product to enhance AI and machine learning algorithms. This integration can also work in reverse—for instance, creating opportunities in the client’s CRM when sales reps accept AI-driven recommendations in your product.
Conclusion
In conclusion, both GraphQL and REST have their own strengths and are suited to different scenarios. REST’s simplicity and widespread adoption make it ideal for straightforward APIs, while GraphQL’s flexibility and efficiency excel in handling complex data needs. Understanding their differences can help you select the best solution for your application.
