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  1. Stackups
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  5. Realm React Native vs RocksDB

Realm React Native vs RocksDB

OverviewComparisonAlternatives

Overview

RocksDB
RocksDB
Stacks141
Followers290
Votes11
GitHub Stars30.9K
Forks6.6K
Realm React Native
Realm React Native
Stacks45
Followers167
Votes1
GitHub Stars6.0K
Forks607

Realm React Native vs RocksDB: What are the differences?

Introduction:

In this article, we will be discussing the key differences between Realm React Native and RocksDB. Both of these technologies have different use cases and offer distinct features. Let's dive into the specifics and explore the differences.

  1. Data Storage and Retrieval: Realm React Native is a mobile database designed to store and retrieve data in a simple and efficient manner, providing real-time synchronization capabilities across devices. On the other hand, RocksDB is an embedded persistent key-value store optimized for flash storage, providing fast and efficient storage and retrieval of large-scale data sets.

  2. Supported Platforms: Realm React Native is specifically designed for mobile platforms, including iOS and Android, providing a seamless and consistent experience across devices. In contrast, RocksDB is more versatile and can be used across various platforms, including desktop and server environments, making it suitable for a wider range of applications.

  3. Concurrency Control and ACID Compliance: Realm React Native includes built-in support for concurrency control and ACID (Atomicity, Consistency, Isolation, Durability) compliance, allowing multiple transactions to be executed simultaneously while ensuring data integrity and consistency. On the other hand, RocksDB focuses on high-performance write operations and does not provide built-in support for transactional operations or strict ACID compliance.

  4. Performance and Scalability: Realm React Native is optimized for real-time data synchronization and offers high-performance querying capabilities, making it suitable for applications that require synchronization across multiple devices and efficient data retrieval. RocksDB, on the other hand, is designed for high-performance write operations and provides excellent scalability for large-scale data sets, making it suitable for scenarios where write performance is a critical factor.

  5. Encryption and Security: Realm React Native offers built-in encryption at the file level, providing data security and protection against unauthorized access. It also supports encryption at the property level, allowing users to selectively encrypt sensitive information. RocksDB, on the other hand, does not provide built-in encryption functionality and relies on external encryption mechanisms if data security is required.

  6. Developer Community and Ecosystem: Realm React Native has a thriving developer community and a rich ecosystem of plugins and extensions, providing additional functionality and integrations with other tools and frameworks. RocksDB also has an active developer community but may have a smaller ecosystem compared to Realm React Native, as RocksDB is more specialized and targeted towards specific use cases.

In summary, Realm React Native and RocksDB offer distinct features and cater to different requirements. Realm React Native is designed for mobile platforms, offering real-time synchronization and a rich ecosystem, while RocksDB is more versatile and optimized for high-performance write operations and scalability. The choice between the two depends on the specific needs of the application and the target platform.

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Detailed Comparison

RocksDB
RocksDB
Realm React Native
Realm React Native

RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.

Realm JavaScript enables you to efficiently write your app’s model layer in a safe, persisted and fast way. It’s designed to work with React Native and Node.js.

Designed for application servers wanting to store up to a few terabytes of data on locally attached Flash drives or in RAM;Optimized for storing small to medium size key-values on fast storage -- flash devices or in-memory;Scales linearly with number of CPUs so that it works well on ARM processors
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Statistics
GitHub Stars
30.9K
GitHub Stars
6.0K
GitHub Forks
6.6K
GitHub Forks
607
Stacks
141
Stacks
45
Followers
290
Followers
167
Votes
11
Votes
1
Pros & Cons
Pros
  • 5
    Very fast
  • 3
    Made by Facebook
  • 2
    Consistent performance
  • 1
    Ability to add logic to the database layer where needed
Pros
  • 1
    Reactive Database
Integrations
No integrations available
React Native
React Native

What are some alternatives to RocksDB, Realm React Native?

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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