Data compression reduces storage footprint and speeds up data transmission in mobile apps. Some mobile databases support transparent compression of stored data or blobs. Developers can also manually compress large objects before insertion.
Common compression algorithms include Gzip, LZ4, and Snappy. Compression mobile database reduces disk usage and network bandwidth, which is critical on mobile devices with limited storage and metered connections. However, compression adds CPU overhead during read/write operations, so developers must balance storage savings with performance. Compression is especially useful for media-heavy apps or those caching large datasets locally.
Using Reactive Programming with Mobile Databases
Reactive programming models like RxJava, LiveData (Android), or Combine (iOS) integrate well with mobile databases to deliver real-time UI updates. When database content changes, reactive streams emit updates that trigger UI refreshes automatically. Realm natively supports reactive paradigms, allowing developers to observe data queries and react to insertions, deletions, or modifications.
This leads to cleaner, more maintainable code and better user experience as views stay synchronized with underlying data. Combining reactive programming with mobile databases encourages a declarative approach to state management, reducing bugs and improving responsiveness.