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  1. Stackups
  2. Application & Data
  3. In-Memory Databases
  4. In Memory Databases
  5. Realm React Native vs Redis

Realm React Native vs Redis

OverviewComparisonAlternatives

Overview

Redis
Redis
Stacks61.9K
Followers46.5K
Votes3.9K
GitHub Stars42
Forks6
Realm React Native
Realm React Native
Stacks45
Followers167
Votes1
GitHub Stars6.0K
Forks607

Realm React Native vs Redis: What are the differences?

Introduction

In this document, we will discuss the key differences between Realm React Native and Redis.

  1. Data storage: Realm React Native is a mobile database that stores data on the device itself, allowing offline functionality and faster access to data. Redis, on the other hand, is an in-memory data structure store that can also persist data to disk. It is typically used as a cache or message broker.

  2. Data model: Realm React Native uses object-oriented models to represent data, allowing for easy manipulation and querying of objects. Redis, on the other hand, uses a key-value store model where data is stored and retrieved based on keys.

  3. Supported platforms: Realm React Native is primarily designed for mobile app development and is available for both iOS and Android platforms. Redis, on the other hand, is a versatile data store that can be used in various environments, including web applications and backend systems.

  4. Querying capabilities: Realm React Native provides a more advanced querying system, supporting complex queries including filtering, sorting, and joining of data. Redis, although it does support basic querying, is more focused on simple key-value retrieval and does not provide advanced querying capabilities out of the box.

  5. Scalability: Redis is known for its scalability and can handle high volumes of data and requests efficiently. It supports clustering and replication, allowing for horizontal scaling. Realm React Native, on the other hand, is primarily designed for offline-first mobile applications and may not be as suitable for scenarios requiring high scalability.

  6. Data synchronization: Realm React Native provides built-in data synchronization capabilities, allowing data to be seamlessly synced between devices and servers. Redis, on the other hand, does not have native data synchronization capabilities and requires additional components or libraries to achieve data synchronization.

In summary, Realm React Native and Redis differ in terms of data storage, data model, supported platforms, querying capabilities, scalability, and data synchronization. Realm React Native is primarily designed for mobile development with offline functionality and built-in synchronization, while Redis is a versatile data store with a focus on high performance and scalability.

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Detailed Comparison

Redis
Redis
Realm React Native
Realm React Native

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.

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.

Statistics
GitHub Stars
42
GitHub Stars
6.0K
GitHub Forks
6
GitHub Forks
607
Stacks
61.9K
Stacks
45
Followers
46.5K
Followers
167
Votes
3.9K
Votes
1
Pros & Cons
Pros
  • 888
    Performance
  • 542
    Super fast
  • 514
    Ease of use
  • 444
    In-memory cache
  • 324
    Advanced key-value cache
Cons
  • 15
    Cannot query objects directly
  • 3
    No secondary indexes for non-numeric data types
  • 1
    No WAL
Pros
  • 1
    Reactive Database
Integrations
No integrations available
React Native
React Native

What are some alternatives to Redis, Realm React Native?

Hazelcast

Hazelcast

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

Aerospike

Aerospike

Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.

MemSQL

MemSQL

MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

Apache Ignite

Apache Ignite

It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale

SAP HANA

SAP HANA

It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.

VoltDB

VoltDB

VoltDB is a fundamental redesign of the RDBMS that provides unparalleled performance and scalability on bare-metal, virtualized and cloud infrastructures. VoltDB is a modern in-memory architecture that supports both SQL + Java with data durability and fault tolerance.

Realm

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.

Tarantool

Tarantool

It is designed to give you the flexibility, scalability, and performance that you want, as well as the reliability and manageability that you need in mission-critical applications

Azure Redis Cache

Azure Redis Cache

It perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents, and more using a common cache-aside pattern.

KeyDB

KeyDB

KeyDB is a fully open source database that aims to make use of all hardware resources. KeyDB makes it possible to breach boundaries often dictated by price and complexity.

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