7 Best Alternatives to Apollo Client in 2026

Why look beyond Apollo Client

Apollo Client provides a comprehensive suite for managing GraphQL data in client-side applications, offering features like normalized caching, optimistic UI updates, and declarative data fetching. However, its extensive feature set can lead to a larger bundle size compared to more minimalist alternatives. For projects with strict performance requirements or simpler data fetching needs, a lighter client might be preferred.

Developers might also explore alternatives to align with a different philosophical approach to state management. For instance, some prefer a more explicit, Redux-like pattern for all application state, including GraphQL data, which RTK Query facilitates. Others, particularly those deeply embedded in the React ecosystem and Facebook's development practices, might opt for Relay due to its compiler-driven approach and close integration with React's concurrent features. Additionally, the learning curve associated with Apollo Client's advanced features, such as local state management with reactive variables or complex cache interactions, can be a consideration for teams seeking a simpler entry point into GraphQL client development.

Top alternatives ranked

1. 1. Relay — A GraphQL client optimized for React applications with a compiler-first approach

   Relay is a JavaScript framework for data fetching and management in React applications, developed and maintained by Facebook (now Meta). It distinguishes itself with a compiler-first approach, which analyzes GraphQL queries at build time to generate highly optimized code. This process enables features like static query analysis, colocation of data requirements with components, and efficient data serialization. Relay is particularly well-suited for large-scale applications within the React ecosystem that demand high performance and maintainability, especially when integrated with Suspense and Concurrent React features.

   Relay's strong typing and strict data requirements can lead to a steeper learning curve compared to more flexible clients, but they also provide significant benefits in terms of predictability and bug prevention in complex applications. Its focus on performance is evident in its advanced caching strategies and efficient data updates. Developers considering Relay often prioritize deep integration with React and a robust, compile-time validated data layer for their GraphQL interactions.

   • Best for: Large-scale React applications, projects requiring compile-time query validation, deep integration with React Suspense and Concurrent Mode.

   Learn more about Relay or visit the official Relay documentation.

2. 2. urql — A lightweight and extensible GraphQL client

   urql is a GraphQL client that prioritizes small bundle size and extensibility through a concept called "exchanges." These exchanges are functions that handle different parts of the GraphQL request lifecycle, allowing developers to customize or extend behavior for caching, authentication, error handling, and more. This modular architecture makes urql highly adaptable to various project needs, from simple data fetching to complex state management, without imposing a large overhead.

   Its lightweight nature makes it an attractive option for projects where bundle size is a critical concern, or for developers who prefer a more hands-on approach to configuring their GraphQL client. urql offers both a React hook-based API and a more generic client API, making it versatile for different frontend frameworks. While it provides a default document cache, its extensibility means developers can swap it out for more advanced caching solutions if required. Developers choose urql for its balance of simplicity, performance, and flexibility in handling GraphQL operations.

   • Best for: Projects prioritizing small bundle size, developers seeking a highly extensible and customizable GraphQL client, applications with varying caching requirements.

   Learn more about urql or explore the urql open-source project.

3. 3. RTK Query — A data fetching and caching solution built on Redux Toolkit

   RTK Query is an advanced data fetching and caching tool built on top of Redux Toolkit, designed to simplify common data loading patterns in web applications. It leverages the power of Redux for state management, providing automatic caching, re-fetching, and optimistic updates out of the box. While not exclusively a GraphQL client, RTK Query can effectively handle GraphQL APIs through its flexible API definition capabilities, allowing developers to define endpoints for queries and mutations.

   Its tight integration with Redux Toolkit means that projects already using Redux can benefit from a streamlined data fetching solution that works cohesively with their existing state management patterns. RTK Query aims to eliminate the need for manual data fetching logic, reducing boilerplate and improving developer productivity. It automatically manages loading states, error handling, and data invalidation, making it a strong contender for applications that require robust and predictable data management within a Redux environment.

   • Best for: Applications already using Redux, projects needing a comprehensive data fetching and caching solution with minimal boilerplate, developers familiar with Redux patterns.

   Explore RTK Query documentation for detailed information.

4. 4. Firebase — A comprehensive backend-as-a-service platform with real-time database capabilities

   Firebase, developed by Google, offers a suite of backend services for building web and mobile applications. While not a direct GraphQL client, its Firestore and Realtime Database services provide robust alternatives for data storage and synchronization, often eliminating the need for a custom GraphQL server. Firebase's real-time capabilities mean that data changes are instantly propagated to connected clients, simplifying the development of dynamic and interactive user interfaces.

   For applications that require a full backend solution, including authentication, hosting, cloud functions, and analytics, Firebase presents an integrated platform. Developers can use its SDKs to interact directly with databases, manage user accounts, and deploy serverless functions without setting up and maintaining a separate GraphQL server or client. This approach can significantly accelerate development, particularly for prototypes and applications where a managed backend is preferred over custom server infrastructure.

   • Best for: Rapid prototyping, mobile and web applications needing a full backend-as-a-service, projects prioritizing real-time data synchronization, reducing infrastructure overhead.

   Learn more about Firebase or consult the official Firebase documentation.

5. 5. React Native — A framework for building native mobile apps using React

   React Native is a JavaScript framework for building native mobile applications for iOS and Android from a single codebase. While it is a UI framework and not a GraphQL client itself, its relevance as an alternative to Apollo Client emerges when considering the broader context of mobile app development and data fetching strategies within that ecosystem. Developers building React Native apps might choose different data fetching libraries, including those listed above, or opt for REST APIs directly.

   For projects focused on mobile-first experiences, React Native offers a way to leverage existing web development skills in JavaScript and React. The choice of a data fetching library within a React Native project often depends on the specific backend architecture. While Apollo Client is a popular choice for GraphQL backends, projects utilizing REST or other data sources might integrate libraries like React Query, SWR, or even plain fetches. React Native provides the foundational UI layer, leaving the data fetching implementation flexible to developer choice and project requirements.

   • Best for: Cross-platform mobile app development, leveraging JavaScript/React skills for mobile, projects where native performance and UI are critical.

   Learn more about React Native or review the React Native getting started guide.

6. 6. Flutter — Google's UI toolkit for building natively compiled applications

   Flutter is Google's open-source UI software development kit for building natively compiled applications for mobile, web, and desktop from a single codebase using Dart. Similar to React Native, Flutter is a UI framework, not a GraphQL client. However, it represents a significant alternative in the broader mobile development landscape, impacting data fetching strategy decisions. Flutter applications typically use packages from pub.dev, such as graphql_flutter, to interact with GraphQL APIs, or packages like dio for RESTful services.

   The Flutter ecosystem offers a rich set of tools and libraries for state management (e.g., Provider, BLoC, Riverpod) and data fetching. Its declarative UI paradigm and hot-reload feature contribute to a fast development cycle. When deciding on a data fetching strategy within Flutter, developers consider factors like the backend technology (GraphQL, REST), the complexity of data requirements, and the preferred state management approach. Flutter provides the flexibility to integrate various data fetching solutions that best fit the application's architecture.

   • Best for: Cross-platform mobile, web, and desktop applications, building high-performance UIs with a single codebase, fast development cycles with hot-reload.

   Learn more about Flutter or consult the official Flutter documentation.

7. 7. SwiftUI — Apple's declarative UI framework for all Apple platforms

   SwiftUI is Apple's declarative UI framework for building applications across all Apple platforms, including iOS, macOS, watchOS, and tvOS. Like React Native and Flutter, SwiftUI is a UI framework, not a GraphQL client. However, it represents the modern, native approach to building Apple applications, often leading developers to consider how data fetching integrates into this environment. Within SwiftUI, developers typically use Swift's native networking capabilities (like URLSession) or third-party libraries to interact with GraphQL or REST APIs.

   SwiftUI emphasizes a declarative syntax and integrates deeply with Swift language features, such as property wrappers for state management (e.g., @State, @ObservedObject, @EnvironmentObject). For GraphQL interactions, developers might integrate community-maintained Swift GraphQL clients or build custom data layers. The choice of data fetching mechanism within a SwiftUI application is driven by the backend's API type and the desired level of integration with SwiftUI's state management paradigms. SwiftUI offers a powerful and idiomatic way to build native Apple experiences, with data fetching being a complementary architectural decision.

   • Best for: Native Apple platform development, building modern declarative UIs for iOS, macOS, watchOS, and tvOS, deep integration with the Swift ecosystem.

   Learn more about SwiftUI or explore the SwiftUI developer documentation.

Side-by-side

How to pick

Selecting the right Apollo Client alternative depends heavily on your project's specific requirements, existing technology stack, and team's expertise. Consider these factors when making your decision:

1. Existing State Management:
   • If your application already uses Redux for state management, RTK Query offers seamless integration and can significantly reduce boilerplate for data fetching. Its Redux-powered caching aligns well with a centralized state approach.
   • If you are not using Redux or prefer a more independent data fetching solution, urql or Relay might be more appropriate.
2. Performance and Bundle Size:
   • For projects where minimizing bundle size is critical, urql stands out due to its lightweight core and modular architecture. Its extensibility allows you to add only the features you need.
   • Relay, while not as small as urql, optimizes performance through its compile-time query processing, which can lead to highly efficient data fetching and updates in complex React applications.
3. Complexity of GraphQL Schema and Queries:
   • For applications with very complex GraphQL schemas and a strong need for compile-time validation and optimization, Relay's compiler-first approach offers robust static analysis and type safety. This can prevent many runtime errors related to data fetching.
   • If your GraphQL interactions are simpler or you prefer more runtime flexibility, urql or RTK Query (with a GraphQL adapter) can provide a more straightforward setup.
4. Frontend Framework and Ecosystem:
   • If you are deeply committed to the React ecosystem and require tight integration with React's advanced features like Suspense and Concurrent Mode, Relay is purpose-built for this environment.
   • For general JavaScript/TypeScript applications (including React, Vue, Svelte, etc.) where flexibility and a smaller footprint are valued, urql is a strong contender.
   • If you're building a new mobile application and considering a full-stack approach without a custom GraphQL server, Firebase offers a comprehensive BaaS solution with real-time capabilities, abstracting away much of the backend complexity.
   • For mobile-first projects, React Native, Flutter, or SwiftUI provide the UI framework, with data fetching solutions chosen independently based on the backend (e.g., GraphQL client, REST client, or Firebase SDK).
5. Team Familiarity and Learning Curve:
   • If your team has strong Redux experience, RTK Query will likely have the lowest learning curve as it builds upon familiar patterns.
   • urql generally has a gentler learning curve than Apollo Client or Relay, making it suitable for teams looking for a quick start.
   • Relay has the steepest learning curve due to its unique compiler, strict conventions, and deep integration with advanced React concepts, but it offers significant long-term benefits for large, complex applications.