Head-to-Head: Jotai vs React Query Analysis


v2.8.3(17 days ago)

This package is actively maintained.Types definitions are bundled with the npm packageNumber of direct dependencies: 0Monthly npm downloads

Jotai is a simple and scalable state management library for React applications. It offers a minimalistic and flexible approach to managing state by using atoms, derived atoms, and actions. Jotai leverages React's context API to provide a lightweight and efficient solution for state management without the need for additional dependencies like Redux or MobX.


Tags: reactstate-managementatomscontext-apideclarative


v3.39.3(over 1 year ago)

This package was last published over a year ago. It may not be actively maintained.Types definitions are bundled with the npm packageNumber of direct dependencies: 3Monthly npm downloads

React Query is a powerful and flexible library for managing server state in React applications. It simplifies data fetching, caching, synchronization, and updating, providing a seamless experience for handling asynchronous data in your components. React Query offers features like automatic caching, background data fetching, pagination support, and query invalidation, making it easy to build fast and responsive applications.


Tags: reactstate-managementdata-fetchingcachingasynchronous



Both Jotai and React Query are popular npm packages in the React ecosystem. Jotai gained popularity for its simplicity and lightweight nature, while React Query gained popularity for its powerful data fetching and caching capabilities.

State Management

Jotai is a state management library that follows a more minimalistic approach compared to React Query. It provides a simple and intuitive API for managing state in React applications. React Query, on the other hand, is primarily focused on data fetching and caching, providing a robust solution for managing asynchronous data in React applications.

Data Fetching

React Query excels in data fetching and caching. It provides a declarative API for fetching and managing data from various sources like REST APIs, GraphQL, and more. It offers features like automatic caching, background data refetching, pagination, and optimistic updates. Jotai, on the other hand, does not have built-in data fetching capabilities and is more focused on state management.

Integration with React

Both Jotai and React Query integrate well with React applications. Jotai leverages React's Context API and hooks to provide a lightweight and flexible state management solution. React Query also integrates seamlessly with React components and provides hooks for fetching and managing data. Both libraries work well with React's component lifecycle and can be easily integrated into existing React projects.

Developer Experience

Jotai offers a simple and straightforward API, making it easy to understand and use. It has a smaller learning curve and is suitable for smaller to medium-sized applications. React Query, on the other hand, has a more extensive API with advanced features, which may require more time to learn and fully utilize. However, React Query provides excellent documentation and community support, making it easier to get started and troubleshoot any issues.


In terms of performance, Jotai is known for its lightweight nature and minimal overhead. It is designed to have a small footprint and can be a good choice for performance-sensitive applications. React Query, while providing powerful data fetching capabilities, may introduce some additional overhead due to its caching and background refetching mechanisms. However, React Query offers various optimizations and caching strategies to improve performance.