Realm vs Core Data Comparison

A mobile-first, reactive database

VS
Core Data

Apple's object graph framework

10 min readiOS

Quick Verdict

For projects that need cross-platform support and real-time sync, Realm leads by a wide margin. For projects that target only Apple platforms, want CloudKit integration, or seek deep alignment with the Xcode ecosystem, Core Data (or SwiftData on iOS 17+) is the more natural choice.

RealmCore Data
Read the full verdict

Score Comparison

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Detailed Scoring

Detailed Scoring: Realm and Core Data — category-by-category scores out of 10
CategoryRealmCore Data
Performance
9/10
8/10
Ease of Learning
8/10
4/10
Ecosystem
7/10
9/10
Community
7/10
8/10
Job Market
6/10
8/10
Future-Proof
7/10
8/10

Pros & Cons

Realm

Pros

  • Zero-copy architecture — queries data directly on disk without loading it into memory
  • Reactive query results — the UI updates automatically as data changes
  • Cross-platform support for iOS, Android, Flutter, and React Native
  • Natural integration with SwiftUI and Combine
  • Cloud sync via Atlas Device Sync (MongoDB Atlas)
  • A far simpler, more intuitive API than Core Data's
  • Easier schema migrations than Core Data

Cons

  • MongoDB Atlas Sync is paid and carries a vendor lock-in risk
  • Less deep Apple integration than the Core Data + CloudKit ecosystem
  • Query flexibility on large datasets trails SQLite-based solutions
  • Realm Swift's threading constraints demand careful handling

Best For

Applications that need real-time synchronizationCross-platform iOS/Android projectsData-heavy applications that need a reactive UIRapid development and simple local-storage needs

Core Data

Pros

  • Full integration with the Apple ecosystem — free, easy CloudKit sync
  • UITableView/UICollectionView optimization via NSFetchedResultsController
  • Xcode integration — a visual data-model editor
  • SQLite, binary store, and in-memory store options
  • Backed by the vast iOS ecosystem — a decade of documentation and examples
  • Swift-native modernization through SwiftData (iOS 17+)
  • Complex querying via the powerful NSPredicate

Cons

  • A steep learning curve — NSManagedObject, contexts, and fetch requests
  • Thread safety requires manual management via NSManagedObjectContext
  • Apple platforms only — no Android or cross-platform support
  • A heavy amount of boilerplate code prior to SwiftData
  • Migration complexity makes large schema changes hard to manage

Best For

Applications targeting only Apple platformsProjects that need free iCloud sync via CloudKitApplications that require a complex relational data modelA modern, Swift-native approach via SwiftData on iOS 17+ projects

Code Comparison

Realm
// Realm Swift — reactive data model
import RealmSwift

// Data model
class Task: Object, ObjectKeyIdentifiable {
    @Persisted(primaryKey: true) var id: ObjectId
    @Persisted var title: String = ""
    @Persisted var isCompleted: Bool = false
    @Persisted var createdAt: Date = Date()
}

// Reactive usage with SwiftUI
struct TaskListView: View {
    @ObservedResults(Task.self) var tasks

    var body: some View {
        List {
            ForEach(tasks) { task in
                TaskRow(task: task)
            }
        }
        .toolbar {
            ToolbarItem {
                Button("Add") {
                    $tasks.append(Task())
                }
            }
        }
    }
}
Core Data
// Core Data + SwiftData — iOS 17+ modern approach
import SwiftData
import SwiftUI

// SwiftData model (with @Model macro)
@Model
class Task {
    var id: UUID
    var title: String
    var isCompleted: Bool
    var createdAt: Date

    init(title: String) {
        self.id = UUID()
        self.title = title
        self.isCompleted = false
        self.createdAt = Date()
    }
}

// Usage with SwiftUI
struct TaskListView: View {
    @Environment(\\.modelContext) private var context
    @Query(sort: \\.createdAt) var tasks: [Task]

    var body: some View {
        List(tasks) { task in
            Text(task.title)
                .strikethrough(task.isCompleted)
        }
    }

    func addTask() {
        let task = Task(title: "New task")
        context.insert(task)
    }
}

Conclusion

For projects that need cross-platform support and real-time sync, Realm leads by a wide margin. For projects that target only Apple platforms, want CloudKit integration, or seek deep alignment with the Xcode ecosystem, Core Data (or SwiftData on iOS 17+) is the more natural choice.

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FAQ

Frequently Asked Questions

SwiftData (iOS 17+) is a modernized version of Core Data, built with @Model macros and a Swift-native API. It relies on Core Data under the hood but drastically reduces boilerplate. New projects should prefer SwiftData, while legacy projects can stay on Core Data.

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