Realm vs. LiteDB vs. SQLite: A Performance and Usability Deep Dive for .NET MAUI
๐ Introduction
Mobile and cross-platform apps often need a fast, reliable, local data store. .NET MAUI apps (iOS/Android/desktop) commonly use:
- Realm โ object database (mobile-first), reactive, great for complex object graphs and realtime updates.
- LiteDB โ lightweight, single-file NoSQL document DB (BSON-like), easy to embed.
- SQLite โ classic relational DB; extremely portable; broad ecosystem (
sqlite-net-pcl,Microsoft.Data.Sqlite, etc.).
Each one fits different scenarios. Below we compare them on performance, concurrency, features, developer ergonomics, and show how to get started in .NET MAUI.
๐ Quick Feature Comparison
| Feature | Realm | LiteDB | SQLite (sqlite-net-pcl) |
|---|---|---|---|
| Data model | Object (RealmObject) โ | Document (BSON-like) โ | Relational (tables) โ |
| LINQ / Querying | LINQ-like queries โ | LINQ-ish / Query API โ | LINQ via sqlite-net โ |
| Reactive / Notifications | โ (live objects, notifications) | โ limited | โ limited (no live objects) |
| Transactions | โ built-in | โ built-in | โ built-in (WAL mode available) |
| Concurrency | โ multi-thread-friendly (snapshots) | โ single-writer recommended | โ WAL improves concurrency |
| Embedded single-file | โ (Realm file) | โ
(single .db file) | โ
(single .db file) |
| Encryption | โ (commercial options) | โ (password encryption) | โ (via SQLCipher / libs) |
| Schema migrations | โ (managed) | โ manual migrations | โ manual migrations |
| Binary size / footprint | Medium | Small | Small |
| Sync to cloud | โ (MongoDB Realm Sync) | โ (not built-in) | โ (not built-in) |
| Best for | Reactive, complex objects, sync-enabled apps | Simple document apps, quick prototyping | Apps needing relational queries, widest tool support |
โ Real Use Cases
- Realm
- Offline-first social feed with complex linked objects, live updates, and eventual cloud sync (MongoDB Realm).
- Chat app where reactive change notifications push UI updates instantly.
- LiteDB
- Simple single-user utility app storing JSON-like documents (notes, preferences).
- Desktop tools and prototypes where zero-ops persistence is ideal.
- SQLite
- Apps requiring relational modelling and complex SQL queries (analytics, reporting, relational data).
- Cross-platform apps where portability and tooling (DB viewers / ORMs) matter most.
โ๏ธ How to choose (short guide)
- Need live objects & sync โ Realm.
- Want single-file, document DB, super easy โ LiteDB.
- Need SQL, strong tooling, or relational queries โ SQLite.
๐ ๏ธ Step-by-step: Getting started in .NET MAUI
For each library: show install, simple model, init, CRUD. Use
FileSystem.AppDataDirectory(MAUI) for DB file location.
1) Realm (local, reactive)
Install
Model
Initialize & CRUD (example usage in MAUI)
Notes
- Realm objects are live โ updates reflect automatically.
- Realm has
GetInstanceAsync, sync features with MongoDB Realm if you need cloud sync.
2) LiteDB (embedded document DB)
Install
Model (POCO)
Usage
Notes
- LiteDB works well for simple document storage.
- Concurrent access: LiteDB supports multiple readers, single writer โ be careful in multi-thread scenarios (file locks).
3) SQLite (sqlite-net-pcl) โ classic relational approach
Install
Model (attributes)
Usage (async)
Notes
- Use WAL journal mode for better concurrency (set via connection string / PRAGMA).
- Mature ecosystem: editors, tools, ORMs, migrations.
๐งช Performance testing tips (how to benchmark)
If you want a fair comparison on your device(s), measure with microbenchmarks:
- Define test scenarios: bulk insert (10k items), random reads, complex queries, update throughput, concurrent reads+writes.
- Use
Stopwatchand repeat each test multiple times, average results. - Warm-up the DB (first-run JIT + initial file creation can bias results).
- Measure memory via platform tools (Android Profiler, iOS Instruments).
- Consider real-device tests over emulators for mobile accuracy.
- Optionally use
BenchmarkDotNet(for desktop) for controlled benchmarking.
Example benchmark pseudo:
Important: concurrency and file I/O behavior differ by platform โ test on target devices.
โ ๏ธ Concurrency & Data Safety Summary
- Realm: built for mobile concurrency; each thread sees a consistent snapshot; supports safe cross-thread reads and notifications.
- SQLite: with WAL mode supports multiple readers + one writer; use locking or proper async patterns.
- LiteDB: supports multiple readers, single writer; file-level locks may block under heavy concurrent writes.
๐ก Practical Recommendations (Conclusion)
- Choose Realm if you want:
- Reactive UI updates (live objects)
- Built-in sync with MongoDB Realm later
- Excellent mobile-optimized read/write performance for complex object graphs
- Choose LiteDB if you want:
- Simple, tiny, single-file document DB
- Fast prototyping and minimal dependency footprint
- Desktop/utility apps or small MAUI apps
- Choose SQLite (sqlite-net-pcl) if you want:
- Max portability and tooling
- Relational data model and complex SQL queries
- Mature ecosystem and integration with many tools
๐ References & Further Reading
- Realm .NET docs โ https://www.mongodb.com/docs/realm/sdk/dotnet/
- LiteDB โ https://www.litedb.org/ / https://github.com/mbdavid/LiteDB
- sqlite-net-pcl โ https://github.com/praeclarum/sqlite-net
- Microsoft docs (MAUI file APIs) โ https://learn.microsoft.com/dotnet/maui/platform-integration/files
- Android App performance tips โ profiling (Android Profiler)
- iOS Instruments โ performance and memory profiling
๐ TL;DR (cheat-sheet) ๐งพ
- Need live, reactive objects & future cloud sync โ Realm โ
- Need tiny, easy document store โ LiteDB โ
- Need SQL + tools + relational queries โ SQLite โ
