A React Native module that provides access to Android's native key-value storage system (SharedPreferences).
React Native Shared Preferences is a React Native module that provides a JavaScript interface to Android's native SharedPreferences system. It allows developers to store and retrieve small amounts of persistent key-value data in React Native apps, using the same underlying storage mechanism as native Android apps. This solves the need for a simple, reliable, and performant storage solution in React Native applications targeting Android.
React Native developers building Android applications who need a straightforward, native-backed solution for persistent key-value storage, such as for user preferences, settings, or small cached data.
Developers choose this module because it directly leverages Android's built-in SharedPreferences API, ensuring reliability, performance, and compatibility without the overhead of third-party storage libraries. It offers a minimal, easy-to-use JavaScript API that mirrors native Android patterns.
Android's Native key value storage system in React Native
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Directly accesses Android's SharedPreferences API for high performance and compatibility, as emphasized in the project description as a bridge module.
Provides intuitive methods like setItem and getItem, mirroring web storage patterns for easy adoption, as shown in the usage examples.
Includes getItems and getAllKeys functions for efficient data retrieval, allowing multiple items to be fetched at once, per the README.
Allows setting a custom preferences file name via setName, enabling organized data separation for different app components.
Requires manual editing of Android files like settings.gradle and MainApplication.java, which is complex and error-prone compared to auto-linking in newer React Native versions.
Exclusively supports Android, making it unsuitable for iOS or cross-platform apps, forcing separate storage implementations for other platforms.
Limited to simple key-value storage without built-in encryption or support for complex data types, which may require additional work for advanced use cases.