MongoDB vs Realm React Native

Overview

MongoDB

Stacks96.6K

Followers82.0K

Votes4.1K

GitHub Stars27.7K

Forks5.7K

Realm React Native

Stacks45

Followers167

Votes1

GitHub Stars6.0K

Forks607

MongoDB vs Realm React Native: What are the differences?

Introduction

This Markdown code provides a comparison between MongoDB and Realm React Native, highlighting the key differences between the two technologies. MongoDB is a popular NoSQL database system that stores data in JSON-like documents, while Realm React Native is a mobile database and synchronization framework designed for React Native applications.

Data Structure: MongoDB uses a flexible schemaless data model, allowing for dynamic and nested data structures. Realm React Native, on the other hand, uses object-based schemas with predefined classes, enabling strong typing and data validation.
Query Language: MongoDB supports a powerful query language called MongoDB Query Language (MQL), which allows for complex queries, aggregations, and filtering. Realm React Native uses a simplified query API that resembles JavaScript and provides efficient querying capabilities tailored for mobile applications.
Synchronization: MongoDB offers built-in synchronization functionalities, allowing data to be seamlessly replicated and synchronized across multiple devices and servers. Realm React Native provides automatic real-time synchronization out of the box, enabling data synchronization between devices and offering offline support.
Integration with the React Native Ecosystem: Realm React Native is designed specifically for React Native applications, providing seamless integration with the React Native ecosystem and supporting features like React Native components, hooks, and context. MongoDB can also be used with React Native through various community-supported libraries and packages.
Performance: MongoDB is known for its high performance, scalability, and ability to handle large amounts of data efficiently. Realm React Native is optimized for mobile devices and offers superior performance compared to traditional SQLite-based databases, particularly when dealing with complex data operations and real-time data updates.
Deployment and Management: MongoDB requires server-side deployment and management, either through self-hosting or using a cloud-based MongoDB service like MongoDB Atlas. Realm React Native simplifies the deployment process by embedding the database directly within the mobile application, eliminating the need for server infrastructure and providing a seamless development experience.

In summary, MongoDB is a versatile NoSQL database system with a flexible schema and powerful query capabilities, while Realm React Native is a mobile database and synchronization framework designed specifically for React Native applications, offering simplified data structures, real-time synchronization, and seamless integration with the React Native ecosystem.

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Advice on MongoDB, Realm React Native

George

Student

Mar 18, 2020

Needs adviceon

PostgreSQL

Python

Django

Hello everyone,

Well, I want to build a large-scale project, but I do not know which ORDBMS to choose. The app should handle real-time operations, not chatting, but things like future scheduling or reminders. It should be also really secure, fast and easy to use. And last but not least, should I use them both. I mean PostgreSQL with Python / Django and MongoDB with Node.js? Or would it be better to use PostgreSQL with Node.js?

*The project is going to use React for the front-end and GraphQL is going to be used for the API.

Thank you all. Any answer or advice would be really helpful!

620k views620k

Comments

Ido

Mar 6, 2020

Decided

My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB (SQL) with a one-to-many approach. It was also far easier to share data between the frontend (Angular), backend (Node.js) and DB (MongoDB) as they all pass around JSON natively. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which (a) has a lot of data, (b) flat and not hierarchical, (c) needed very fast queries.

575k views575k

Comments

Mike

Mar 20, 2020

Needs advice

We Have thousands of .pdf docs generated from the same form but with lots of variability. We need to extract data from open text and more important - from tables inside the docs. The output of Couchbase/Mongo will be one row per document for backend processing. ADOBE renders the tables in an unusable form.

241k views241k

Comments

Detailed Comparison

MongoDB	Realm React Native
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.	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.
Flexible data model, expressive query language, secondary indexes, replication, auto-sharding, in-place updates, aggregation, GridFS	-
Statistics
GitHub Stars 27.7K	GitHub Stars 6.0K
GitHub Forks 5.7K	GitHub Forks 607
Stacks 96.6K	Stacks 45
Followers 82.0K	Followers 167
Votes 4.1K	Votes 1
Pros & Cons
Pros 829 Document-oriented storage 594 No sql 554 Ease of use 465 Fast 410 High performance Cons 6 Very slowly for connected models that require joins 3 Not acid compliant 2 Proprietary query language	Pros 1 Reactive Database
Integrations
No integrations available	React Native

What are some alternatives to MongoDB, Realm React Native?

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.

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 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

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 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

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 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

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.

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

Related Comparisons

MongoDB vs Realm React Native: What are the differences?

Introduction

Data Structure: MongoDB uses a flexible schemaless data model, allowing for dynamic and nested data structures. Realm React Native, on the other hand, uses object-based schemas with predefined classes, enabling strong typing and data validation.
Query Language: MongoDB supports a powerful query language called MongoDB Query Language (MQL), which allows for complex queries, aggregations, and filtering. Realm React Native uses a simplified query API that resembles JavaScript and provides efficient querying capabilities tailored for mobile applications.
Synchronization: MongoDB offers built-in synchronization functionalities, allowing data to be seamlessly replicated and synchronized across multiple devices and servers. Realm React Native provides automatic real-time synchronization out of the box, enabling data synchronization between devices and offering offline support.
Integration with the React Native Ecosystem: Realm React Native is designed specifically for React Native applications, providing seamless integration with the React Native ecosystem and supporting features like React Native components, hooks, and context. MongoDB can also be used with React Native through various community-supported libraries and packages.
Performance: MongoDB is known for its high performance, scalability, and ability to handle large amounts of data efficiently. Realm React Native is optimized for mobile devices and offers superior performance compared to traditional SQLite-based databases, particularly when dealing with complex data operations and real-time data updates.
Deployment and Management: MongoDB requires server-side deployment and management, either through self-hosting or using a cloud-based MongoDB service like MongoDB Atlas. Realm React Native simplifies the deployment process by embedding the database directly within the mobile application, eliminating the need for server infrastructure and providing a seamless development experience.

MongoDB vs Realm React Native

Overview

MongoDB vs Realm React Native: What are the differences?