ObjectBox Setup: Object Database for Mobile Apps

We often encounter a situation: an Android app stutters when doing bulk data inserts — writing 1000 objects via Room takes 15 seconds. The client loses users due to lag. ObjectBox solves this: native C++ implementation without SQL parsing delivers **up to 10x speedup** on write operations. In our pr

Development and support of all types of mobile applications:

Information and entertainment mobile applications
News apps, games, reference guides, online catalogs, weather apps, fitness and health apps, travel apps, educational apps, social networks and messengers, quizzes, blogs and podcasts, forums, aggregators
E-commerce mobile applications
Online stores, B2B apps, marketplaces, online exchanges, cashback services, exchanges, dropshipping platforms, loyalty programs, food and goods delivery, payment systems.
Business process management mobile applications
CRM systems, ERP systems, project management, sales team tools, financial management, production management, logistics and delivery management, HR management, data monitoring systems
Electronic services mobile applications
Classified ads platforms, online schools, online cinemas, electronic service platforms, cashback platforms, video hosting, thematic portals, online booking and scheduling platforms, online trading platforms

These are just some of the types of mobile applications we work with, and each of them may have its own specific features and functionality, tailored to the specific needs and goals of the client.

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ObjectBox Setup: Object Database for Mobile Apps
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We often encounter a situation: an Android app stutters when doing bulk data inserts — writing 1000 objects via Room takes 15 seconds. The client loses users due to lag. ObjectBox solves this: native C++ implementation without SQL parsing delivers up to 10x speedup on write operations. In our practice, we integrated ObjectBox into an IoT tracker that saved 500 points every 5 minutes — write time dropped from 8 to 0.7 seconds. Development time savings: up to 2 weeks per project thanks to automatic codegen and no DAOs. Additionally, the object model reduces code volume by 30–40%, directly lowering development and maintenance costs.

We configure ObjectBox end-to-end, including models, reactive queries, and synchronization. We evaluate your project in one day — contact us to get started.

Why ObjectBox is faster than SQLite?

ObjectBox is an object database, not relational. No JOINs, no GROUP BY — but for working with object graphs (entities with relations) that's not needed. Benchmarks from ObjectBox show a 10x advantage over Room/SQLite on writes. In real projects, the gap depends on patterns: bulk inserts — 3–10x win, reads by ID — roughly equal. For IoT apps, trackers, game saves, filterable catalogs, ObjectBox is ideal. Development savings: up to 40% compared to traditional solutions.

How to set up ObjectBox in 3–5 days?

The setup process includes several steps:

  1. Data schema analysis: identify entities and relations.
  2. Entity design with relations (ToOne, ToMany).
  3. Integration of BoxStore into the Application class.
  4. Implementation of reactive queries via DataObserver.
  5. Performance testing: measure write/read speed.
  6. Deployment to app stores.

Below is a typical stack and code.

Connecting and Models

// build.gradle (app) plugins { id("io.objectbox") } dependencies { implementation("io.objectbox:objectbox-kotlin:3.8.0") } 
@Entity data class Task( @Id var id: Long = 0, var title: String = "", var description: String = "", var priority: Int = 0, var dueDate: Long = 0, var isCompleted: Boolean = false ) { val tags: ToMany<Tag> = toMany() } @Entity data class Tag( @Id var id: Long = 0, var name: String = "", @Index var color: String = "" ) 

@Id is a mandatory Long for internal ObjectBox ID. This is not a UUID or your business identifier — use a separate string field for server synchronization.

Initialization and BoxStore

// Application class class MyApp : Application() { companion object { lateinit var boxStore: BoxStore private set } override fun onCreate() { super.onCreate() boxStore = MyObjectBox.builder() .androidContext(this) .name("tasks-db") .build() } } // Usage in ViewModel class TaskViewModel : ViewModel() { private val taskBox: Box<Task> = MyApp.boxStore.boxFor(Task::class.java) val tasks: LiveData<List<Task>> = liveData(Dispatchers.IO) { val query = taskBox.query(Task_.isCompleted.equal(false)) .order(Task_.priority, QueryBuilder.DESCENDING) .build() emitSource(query.subscribe().toLiveData()) } } 

query.subscribe().toLiveData() — ObjectBox DataObserver automatically notifies when data in the box changes. This is a reactive subscription without extra code.

Queries via QueryBuilder

ObjectBox does not use string SQL. Queries via type-safe QueryBuilder with Properties — generated metaclasses (Task_, Tag_):

// Filtering with multiple conditions val urgentTasks = taskBox.query( Task_.isCompleted.equal(false) .and(Task_.priority.greater(2)) .and(Task_.dueDate.less(System.currentTimeMillis() + 86_400_000L)) ) .order(Task_.dueDate) .build() .find() // Full-text search — requires @Index(type = IndexType.VALUE) + FTS val searchResults = taskBox.query( Task_.title.contains("meeting", StringOrder.CASE_INSENSITIVE) ) .build() .find() 

No JOINs — relations via ToOne/ToMany. ObjectBox loads related objects lazy by default:

// ToMany loads on first access val taskTags = task.tags // lazy load, DB access 

ObjectBox Sync

Note: like Realm, ObjectBox offers a commercial synchronization server — ObjectBox Sync. Bidirectional sync, conflict resolution, delta updates. This is a separate product with a licensing model. We integrate Sync into your app turnkey.

How does ObjectBox Sync work?

ObjectBox Sync uses delta synchronization: only changed objects are transmitted, not the entire database. Conflict resolution is configurable: you can choose "last writer wins", "local priority", or custom logic. To start, just set up a Sync server and specify the URL in the client.

Comparison of ObjectBox and Room

Criteria ObjectBox Room/SQLite
Write speed (1000 objects) ~0.5 sec ~5–15 sec
Read speed by ID ~0.1 ms ~0.2 ms
Reactive queries DataObserver Flow/LiveData via DAO
Synchronization ObjectBox Sync (commercial) Firebase, manual
Typical setup time 3–5 days 5–10 days

Common Issues and Solutions

Problem Solution
ID not UUID ObjectBox auto-assigns Long IDs — they are only unique locally. For server sync, add a separate string field with @Index.
Codegen on every build The plugin generates MyObjectBox.java and _ classes. If schema changes but gradle cache is not cleared, the compiler complains about mismatch. ./gradlew clean solves it.
Only one BoxStore per app Attempting to open a second BoxStore on the same file throws an exception. Singleton via Application class is mandatory.

Why ObjectBox suits IoT apps?

IoT devices generate streaming time-series data: coordinates, sensor readings, logs. ObjectBox handles bulk inserts without delays, and reactive subscriptions instantly update the UI. In the tracker we built, writing 500 points per minute caused no lag — unlike Room, where GC led to freezes. ObjectBox is also available for Flutter and React Native, simplifying cross-platform development.

What's included in the work

  • Object model design with relations
  • BoxStore setup, codegen, index optimization
  • Reactive query implementation (LiveData/Flow)
  • ObjectBox Sync integration (if needed)
  • Performance testing (before/after benchmarks)
  • Documentation on schema and access
  • 30-day support after delivery

Order ObjectBox setup for your mobile app — we guarantee results. For over 5 years we've been doing mobile development and delivered 50+ projects on ObjectBox and alternatives. Get a free estimate — write to us!