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  1. Stackups
  2. Application & Data
  3. Databases
  4. Mobile Database
  5. LokiJS vs Realm React Native

LokiJS vs Realm React Native

OverviewComparisonAlternatives

Overview

Realm React Native
Realm React Native
Stacks45
Followers167
Votes1
GitHub Stars6.0K
Forks607
LokiJS
LokiJS
Stacks43
Followers57
Votes3
GitHub Stars6.8K
Forks483

LokiJS vs Realm React Native: What are the differences?

1. **Data Persistence**: One key difference between LokiJS and Realm React Native is that LokiJS stores data in memory, while Realm React Native persistently stores data on disk, providing greater data reliability and consistency. 2. **Performance**: Realm React Native offers faster query performance and data retrieval compared to LokiJS due to its indexing capabilities and efficient data storage mechanism. 3. **Cross-platform Compatibility**: Realm React Native is more versatile in terms of cross-platform compatibility, enabling seamless data synchronization and sharing across multiple platforms, while LokiJS may have limitations in this aspect. 4. **Query Language**: Realm React Native supports a more comprehensive query language, offering a wide range of query capabilities and flexibility, while LokiJS may have a more limited query language feature set. 5. **Integration with React Native Ecosystem**: Realm React Native integrates more seamlessly with the React Native ecosystem, providing better support for synchronization with other React Native components and libraries, in contrast to LokiJS which may require additional customization for integration. 6. **Community Support and Updates**: Realm React Native has a more active community and frequent updates, ensuring continuous improvement and bug fixes, compared to LokiJS which may have a slower pace of development and support.

In Summary, Realm React Native excels in data persistence, performance, cross-platform compatibility, query language support, integration with React Native ecosystem, and community support compared to LokiJS.

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Detailed Comparison

Realm React Native
Realm React Native
LokiJS
LokiJS

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.

LokiJS is a document oriented database written in javascript, published under MIT License. Its purpose is to store javascript objects as documents in a nosql fashion and retrieve them with a similar mechanism. Runs in node (including cordova/phonegap and node-webkit), nativescript and the browser.

Statistics
GitHub Stars
6.0K
GitHub Stars
6.8K
GitHub Forks
607
GitHub Forks
483
Stacks
45
Stacks
43
Followers
167
Followers
57
Votes
1
Votes
3
Pros & Cons
Pros
  • 1
    Reactive Database
Pros
  • 3
    Can query the objects directly
Integrations
React Native
React Native
Node.js
Node.js
NativeScript
NativeScript
Apache Cordova
Apache Cordova
PhoneGap
PhoneGap

What are some alternatives to Realm React Native, LokiJS?

Redis

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.

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.

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