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

Realm vs WatermelonDB

OverviewComparisonAlternatives

Overview

Realm
Realm
Stacks279
Followers441
Votes16
WatermelonDB
WatermelonDB
Stacks12
Followers123
Votes1
GitHub Stars11.3K
Forks626

Realm vs WatermelonDB: What are the differences?

Introduction:

Realm and WatermelonDB are both popular options for mobile and web developers looking to integrate a database into their applications. While they serve similar purposes, there are several key differences between the two that developers should consider. In this article, we will explore these differences in detail.

  1. Database Structure: One significant difference between Realm and WatermelonDB is how each handles the database structure. Realm uses an object-based approach, where data is stored as objects with properties and relationships. On the other hand, WatermelonDB utilizes a more traditional relational database structure, storing data in tables with rows and columns. This difference in structure can impact the way data is manipulated and queried in each database system.

  2. Data Synchronization: Another important difference between Realm and WatermelonDB is their data synchronization capabilities. Realm offers real-time data syncing, allowing multiple devices to access and update the same data simultaneously. On the other hand, WatermelonDB does not provide built-in real-time synchronization, requiring developers to implement their own synchronization solution if needed. This can be a crucial factor for applications that require real-time collaboration or data sharing across devices.

  3. Platform Support: Realm and WatermelonDB also differ in terms of the platforms they support. Realm offers support for a wide range of platforms, including iOS, Android, macOS, watchOS, and Linux. In contrast, WatermelonDB primarily focuses on web and mobile platforms, with support for JavaScript, React Native, and Expo. This difference in platform support may influence the choice of database system depending on the target platforms of the application.

  4. Query Flexibility: When it comes to querying data, Realm and WatermelonDB differ in terms of flexibility. Realm provides a powerful and expressive query language that allows developers to perform complex queries with ease. WatermelonDB, on the other hand, uses a simpler query API based on JavaScript methods for querying data. This distinction in query capabilities may be important for applications that require advanced querying and aggregation operations.

  5. Backend Integration: Realm and WatermelonDB also vary in their approach to backend integration. Realm supports the integration of its database with server-side frameworks, allowing developers to build scalable and secure backend systems. WatermelonDB, on the other hand, focuses more on client-side storage and does not offer direct support for server-side integration. This difference can be crucial for applications that require server-side processing or integration with existing backend systems.

  6. Community and Documentation: Lastly, Realm and WatermelonDB differ in terms of community support and documentation. Realm has a larger and more established community, with extensive documentation and resources available. WatermelonDB, being a relatively newer database, may have a smaller community and less comprehensive documentation. This may affect the availability of community-driven plugins, libraries, and support for each database system.

In summary, the key differences between Realm and WatermelonDB lie in their database structure, data synchronization capabilities, platform support, query flexibility, backend integration, and community/documentation resources. Developers should consider these differences to choose the most suitable database system for their specific application needs.

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Detailed Comparison

Realm
Realm
WatermelonDB
WatermelonDB

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.

WatermelonDB is a new way of dealing with user data in React Native and React web apps. It's optimized for building complex applications in React Native, and the number one goal is real-world performance. In simple words, your app must launch fast.

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.
-
Statistics
GitHub Stars
-
GitHub Stars
11.3K
GitHub Forks
-
GitHub Forks
626
Stacks
279
Stacks
12
Followers
441
Followers
123
Votes
16
Votes
1
Pros & Cons
Pros
  • 7
    Good
  • 3
    Elegant API
  • 3
    Cloud Syncing
  • 2
    React Native Support
  • 1
    Strong Adoption Growth
Cons
  • 1
    No offline support for web till now
Pros
  • 1
    Undefined is not an object (evaluating 'columnSchema.ty
Integrations
No integrations available
RxJS
RxJS
React
React
SQLite
SQLite
React Native
React Native

What are some alternatives to Realm, WatermelonDB?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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