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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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Pros of Realm
Pros of WatermelonDB
  • 7
    Good
  • 3
    Elegant API
  • 3
    Cloud Syncing
  • 2
    React Native Support
  • 1
    Strong Adoption Growth
  • 1
    Undefined is not an object (evaluating 'columnSchema.ty

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Cons of Realm
Cons of WatermelonDB
  • 1
    No offline support for web till now
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    - No public GitHub repository available -

    What is Realm?

    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.

    What is WatermelonDB?

    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.

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    What companies use Realm?
    What companies use WatermelonDB?
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      What tools integrate with Realm?
      What tools integrate with WatermelonDB?

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      What are some alternatives to Realm and WatermelonDB?
      Firebase
      Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
      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.
      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 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.
      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.
      See all alternatives