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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. CouchDB vs RxDB

CouchDB vs RxDB

OverviewDecisionsComparisonAlternatives

Overview

CouchDB
CouchDB
Stacks529
Followers584
Votes139
GitHub Stars6.7K
Forks1.1K
RxDB
RxDB
Stacks59
Followers179
Votes63
GitHub Stars22.8K
Forks1.1K

CouchDB vs RxDB: What are the differences?

Introduction

Below are the key differences between CouchDB and RxDB.

  1. Architecture: CouchDB is a NoSQL document-based database that uses MapReduce for querying and supports distributed, fault-tolerant replication. RxDB, on the other hand, is a client-side reactive database that builds on top of IndexedDB and follows the principles of Redux. It is specifically designed for frontend applications and supports real-time data synchronization.

  2. Querying: CouchDB uses a powerful query language called Mango Query, which is similar to SQL but with some differences. RxDB, on the other hand, provides a fluent API for querying data based on a simplified version of MongoDB query syntax. It also supports an observer pattern, allowing developers to reactively update the user interface based on changes in the database.

  3. Synchronization: CouchDB has built-in support for multi-master replication, which means that updates can be made on any replica and they will be eventually propagated to other replicas. RxDB, on the other hand, uses a different synchronization mechanism called GraphQL Replication. It allows developers to define a schema and specify which documents and fields to synchronize, providing more granular control over the synchronization process.

  4. Conflict Resolution: CouchDB uses a conflict resolution mechanism called eventual consistency, where conflicts are resolved based on timestamp ordering. In case of conflicts, the winning revision is determined based on a predefined conflict resolution algorithm. RxDB, on the other hand, provides a conflict resolution API that allows developers to specify their own resolution logic. This gives developers more flexibility in handling conflicts based on their specific application requirements.

  5. Plugin Ecosystem: CouchDB has a mature plugin ecosystem with a wide range of community-created plugins available for various use cases, such as full-text search, geospatial querying, and authentication. RxDB, on the other hand, is a relatively new database and has a smaller plugin ecosystem compared to CouchDB. However, it provides a modular plugin system that allows developers to extend its functionality as per their requirements.

  6. Community and Adoption: CouchDB has been around since 2005 and has a large and active community of users and contributors. It is widely adopted by organizations of all sizes, including high-profile companies like IBM, Adobe, and Cisco. RxDB, on the other hand, is a relatively new database that has gained popularity in the frontend development community. While it has a growing community and adoption, it may not have the same level of support and resources available as CouchDB.

In summary, CouchDB is a mature NoSQL database with a wide range of features and a large community of users, while RxDB is a client-side reactive database specifically designed for frontend applications with a focus on real-time data synchronization and a more granular control over querying and replication.

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Advice on CouchDB, RxDB

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
Comments

Detailed Comparison

CouchDB
CouchDB
RxDB
RxDB

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.

💻 📱 Reactive, serverless, client-side, offline-first database in javascript. Client-Side Database for Browsers, NodeJS, electron, cordova, react-native and every other javascript-runtime.

Terrific single-node database; Clustered database ; HTTP/JSON; Offline first data sync
-
Statistics
GitHub Stars
6.7K
GitHub Stars
22.8K
GitHub Forks
1.1K
GitHub Forks
1.1K
Stacks
529
Stacks
59
Followers
584
Followers
179
Votes
139
Votes
63
Pros & Cons
Pros
  • 43
    JSON
  • 30
    Open source
  • 18
    Highly available
  • 12
    Partition tolerant
  • 11
    Eventual consistency
Pros
  • 15
    Good documentation
  • 13
    Subscription to queries
  • 11
    Example projects
  • 10
    Works
  • 10
    Typescript support
Cons
  • 4
    Bulk operation for updates and other operation
Integrations
No integrations available
Pouchdb
Pouchdb
Cloudant
Cloudant
React
React
Angular
Angular
Ionic
Ionic
Vue.js
Vue.js

What are some alternatives to CouchDB, RxDB?

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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