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ObjectBox

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16
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ObjectBox vs Realm: What are the differences?

Introduction:

ObjectBox and Realm are both popular mobile database solutions for developers. While they have some similarities, there are key differences between the two.

  1. Data Model Flexibility: ObjectBox offers a highly flexible data model, allowing developers to easily create and modify their data structures without needing to make any changes to existing data. Realm, on the other hand, enforces a stricter data model and requires developers to explicitly handle schema migrations when making changes to the data structure.

  2. Performance: ObjectBox is optimized for performance, offering faster read and write operations compared to Realm. This is achieved through its unique architecture and indexing mechanism, which allows for efficient data retrieval. Realm, although still performant, may face some performance limitations when handling complex queries or large data sets.

  3. Relationship Handling: ObjectBox provides built-in support for object relationships, including one-to-one, one-to-many, and many-to-many relationships. This makes it easier for developers to handle related data and perform advanced operations. In contrast, Realm does not have native support for relationships and requires developers to manually handle them by implementing additional logic.

  4. Platform Support: ObjectBox supports a wide range of platforms including Android, iOS, and Linux, making it suitable for cross-platform development. On the other hand, Realm provides support for various platforms including Android, iOS, Xamarin, and React Native, offering a slightly wider range of options for developers.

  5. Community Support and Adoption: Realm has been in the market for a longer time and has gained significant community support and adoption. This means that developers can find more resources, tutorials, and forums related to Realm, making it easier to find solutions to common problems. ObjectBox, being a relatively newer solution, may have a smaller community and fewer online resources.

  6. Licensing Model: ObjectBox offers a more flexible licensing model, including a free Community Edition along with commercial options for larger projects. Realm also provides a free version, but its commercial licensing may be more suitable for enterprise-scale applications.

In Summary, ObjectBox and Realm have key differences in terms of data model flexibility, performance, relationship handling, platform support, community support, and licensing model.

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Pros of ObjectBox
Pros of Realm
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    • 7
      Good
    • 3
      Elegant API
    • 3
      Cloud Syncing
    • 2
      React Native Support
    • 1
      Strong Adoption Growth

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    Cons of ObjectBox
    Cons of Realm
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      • 1
        No offline support for web till now

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      What is ObjectBox?

      It is for developers who look for performance and ease of use. We are committed to providing you with the easiest APIs for you to keep your code short and maintainable. No SQL under the hood-Simply faster. Unlike other databases, it has been built from the ground up using key-value storage instead of column storage. The resulting performance is 10x faster than the leading alternative, we welcome you to try it yourself. It is fast regardless of the amount of data or operating system you are using.

      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.

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

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        What are some alternatives to ObjectBox and Realm?
        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.
        Redis
        Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
        Amazon S3
        Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
        See all alternatives