Mobile databases adopt different data consistency models to balance performance and reliability. Strong consistency ensures that all users see the same data immediately after any update, which is crucial for financial or transactional apps but challenging over unreliable networks.
Eventual consistency allows temporary discrepancies, with all data mobile database converging to a consistent state over time, making it suitable for social media or messaging apps. Hybrid models combine both approaches based on data type and importance.
Understanding and selecting appropriate consistency models is essential for designing mobile applications that meet user expectations while optimizing resource use.
Mobile Database APIs and SDKs
Mobile databases provide Application Programming Interfaces (APIs) and Software Development Kits (SDKs) that simplify integration into mobile apps. These tools offer high-level methods for CRUD operations, synchronization, querying, and offline handling.
Popular SDKs like Firebase, Realm, and SQLite come with comprehensive documentation, support multiple platforms, and often include debugging and monitoring utilities. Well-designed APIs reduce development time, improve code maintainability, and help enforce best practices. Choosing the right API/SDK depends on factors like platform compatibility, feature set, performance requirements, and community support.