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  1. Stackups
  2. Application & Data
  3. Databases
  4. Mobile Database
  5. CoreData vs Realm

CoreData vs Realm

OverviewComparisonAlternatives

Overview

Realm
Realm
Stacks279
Followers441
Votes16
CoreData
CoreData
Stacks64
Followers47
Votes0

CoreData vs Realm: What are the differences?

Key Differences between CoreData and Realm

1. Data Model Definition

  • In CoreData, the data model is defined using a visual modeling tool called Core Data Model Editor.
  • In Realm, the data model is defined using a code-driven approach, where objects and relationships are defined using classes and properties.

2. Data Persistence

  • CoreData supports both SQL-based and binary stores for persisting data.
  • Realm uses its own embedded object database to persist data, resulting in better performance and simplifying the persistence process.

3. Relationships

  • In CoreData, relationships between entities are defined using relationships in the data model.
  • In Realm, relationships are defined using properties in the object classes, providing more flexibility and simplicity in managing relationships.

4. Querying and Fetching

  • CoreData uses the NSFetchRequest API to fetch and query data, supporting complex queries with filtering, sorting, and grouping options.
  • Realm provides a simpler and more intuitive query language to fetch data, with support for filtering, sorting, and grouping operations directly on the object classes.

5. Thread Safety

  • CoreData requires explicit handling of multithreading and concurrency by implementing its own thread-safe mechanisms.
  • Realm is inherently thread-safe, allowing objects to be directly accessed and modified from multiple threads without the need for additional synchronization.

6. Performance

  • CoreData can be slower for complex queries or large data sets due to its reliance on SQL and the overhead of managed objects.
  • Realm is known for its superior performance, as it avoids the overhead of managed objects and utilizes an efficient file-based storage system.

In Summary, CoreData and Realm differ in their data model definition approach, data persistence methods, handling of relationships, querying and fetching options, thread safety mechanisms, and performance characteristics.

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Detailed Comparison

Realm
Realm
CoreData
CoreData

The Realm Mobile Platform is a next-generation data layer for applications. Realm is reactive, concurrent, and lightweight, allowing you to work with live, native objects.

It is an object graph and persistence framework provided by Apple in the macOS and iOS operating systems. It allows data organized by the relational entity–attribute model to be serialized into XML, binary, or SQLite stores. It provides generalized and automated solutions to common tasks associated with object life cycle and object graph management, including persistence.

Feels like Home - Realm’s data structures look like the Objects and Arrays of your language, but provide additional features such as: querying, relationships & graphs, thread safety, and more.;Memory-Efficient - Realm is not built on SQLite. Instead, a custom C++ core is used to provide memory-efficient access to your data by using Realm objects, which usually consume less RAM than native objects.;F-F-Fast! - Realm offers extraordinary performance compared to SQLite and other persistence solutions.
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Statistics
Stacks
279
Stacks
64
Followers
441
Followers
47
Votes
16
Votes
0
Pros & Cons
Pros
  • 7
    Good
  • 3
    Cloud Syncing
  • 3
    Elegant API
  • 2
    React Native Support
  • 1
    Strong Adoption Growth
Cons
  • 1
    No offline support for web till now
No community feedback yet
Integrations
No integrations available
SQLite
SQLite
macOS
macOS

What are some alternatives to Realm, CoreData?

Sequelize

Sequelize

Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.

Prisma

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

Hibernate

Hibernate

Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

Doctrine 2

Doctrine 2

Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL.

MikroORM

MikroORM

TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, PostgreSQL and SQLite databases.

Entity Framework

Entity Framework

It is an object-relational mapper that enables .NET developers to work with relational data using domain-specific objects. It eliminates the need for most of the data-access code that developers usually need to write.

peewee

peewee

A small, expressive orm, written in python (2.6+, 3.2+), with built-in support for sqlite, mysql and postgresql and special extensions like hstore.

MyBatis

MyBatis

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.

Entity Framework Core

Entity Framework Core

It is a lightweight, extensible, open source and cross-platform version of the popular Entity Framework data access technology. It can serve as an object-relational mapper (O/RM), enabling .NET developers to work with a database using .NET objects, and eliminating the need for most of the data-access code they usually need to write.

SQLAlchemy

SQLAlchemy

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.

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