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  1. Stackups
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  5. CouchDB vs Realm React Native

CouchDB vs Realm React Native

OverviewDecisionsComparisonAlternatives

Overview

CouchDB
CouchDB
Stacks529
Followers584
Votes139
GitHub Stars6.7K
Forks1.1K
Realm React Native
Realm React Native
Stacks45
Followers167
Votes1
GitHub Stars6.0K
Forks607

CouchDB vs Realm React Native: What are the differences?

Introduction:

When comparing CouchDB and Realm React Native, there are several key differences to consider that can influence your decision on choosing the right database for your project.

  1. Data Storage: CouchDB is a document-oriented NoSQL database, while Realm React Native is a mobile database designed specifically for use in mobile applications, providing better performance and data management tailored for mobile environments.

  2. Synchronization: Realm React Native offers seamless synchronization between devices and the server, ensuring that data changes are propagated efficiently, whereas CouchDB requires custom solutions and additional configurations for data synchronization between different instances.

  3. Querying Capabilities: CouchDB uses MapReduce functions for querying and indexing data, providing powerful search capabilities but requiring more complex queries to be written, while Realm React Native offers a simple and intuitive query language with support for advanced filtering and sorting functions.

  4. Ease of Use: Realm React Native provides a more developer-friendly experience with its simple API and straightforward integration into React Native projects, whereas CouchDB may require a steeper learning curve due to its unique architecture and setup requirements.

  5. Community Support: CouchDB has a larger and more established community with a longer history of use cases and documentation available, while Realm React Native is a newer technology but is backed by MongoDB, offering strong support and resources for developers.

  6. Scalability: CouchDB is known for its horizontal scalability, making it a robust choice for large-scale applications with high volumes of data and users. On the other hand, Realm React Native may face limitations in scalability due to its mobile-focused design and architecture.

In Summary, when choosing between CouchDB and Realm React Native, consider factors such as data storage, synchronization, querying capabilities, ease of use, community support, and scalability to determine the best fit for your project requirements.

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Advice on CouchDB, Realm React Native

Gabriel
Gabriel

CEO at Naologic

Jan 2, 2020

DecidedonCouchDBCouchDBCouchbaseCouchbaseMemcachedMemcached

We implemented our first large scale EPR application from naologic.com using CouchDB .

Very fast, replication works great, doesn't consume much RAM, queries are blazing fast but we found a problem: the queries were very hard to write, it took a long time to figure out the API, we had to go and write our own @nodejs library to make it work properly.

It lost most of its support. Since then, we migrated to Couchbase and the learning curve was steep but all worth it. Memcached indexing out of the box, full text search works great.

592k views592k
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Detailed Comparison

CouchDB
CouchDB
Realm React Native
Realm React Native

Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.

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.

Terrific single-node database; Clustered database ; HTTP/JSON; Offline first data sync
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Statistics
GitHub Stars
6.7K
GitHub Stars
6.0K
GitHub Forks
1.1K
GitHub Forks
607
Stacks
529
Stacks
45
Followers
584
Followers
167
Votes
139
Votes
1
Pros & Cons
Pros
  • 43
    JSON
  • 30
    Open source
  • 18
    Highly available
  • 12
    Partition tolerant
  • 11
    Eventual consistency
Pros
  • 1
    Reactive Database
Integrations
No integrations available
React Native
React Native

What are some alternatives to CouchDB, 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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