CouchDB vs RabbitMQ

Overview

CouchDB

Stacks529

Followers584

Votes139

GitHub Stars6.7K

Forks1.1K

RabbitMQ

Stacks21.8K

Followers18.9K

Votes558

GitHub Stars13.2K

Forks4.0K

CouchDB vs RabbitMQ: What are the differences?

Introduction

CouchDB and RabbitMQ are both popular technologies used in web development and data processing. While they have some similarities, there are also key differences between the two.

Data Storage vs. Message Broker: The primary difference between CouchDB and RabbitMQ lies in their core functionalities. CouchDB is a NoSQL database that focuses on storing and retrieving data, while RabbitMQ is a message broker that facilitates messaging between applications.
Data Structure: CouchDB uses a document-oriented data model, where data is stored in flexible JSON-like documents. It allows for easy storage and retrieval of data without relying on a fixed schema. On the other hand, RabbitMQ utilizes a messaging model based on queues and exchanges, allowing applications to send and receive messages asynchronously.
Querying Capabilities: CouchDB provides powerful querying capabilities through its built-in MapReduce functionality. It allows users to create complex queries and perform aggregations on stored data. In contrast, RabbitMQ does not offer querying capabilities natively. Instead, it relies on consumers to process and interpret the messages received.
Data Replication and Synchronization: CouchDB supports replication and synchronization of data across multiple instances, making it suitable for distributed setups and offline usage scenarios. RabbitMQ, on the other hand, does not provide built-in data replication capabilities. It focuses on message distribution and delivery rather than data synchronization.
Scalability: CouchDB is designed to scale horizontally, meaning it can handle larger amounts of data by distributing it across multiple nodes in a cluster. RabbitMQ, on the other hand, can be scaled horizontally by adding more nodes to the system, but it primarily focuses on handling message delivery and processing rather than data storage.
Data Persistence: CouchDB provides durable data storage, meaning data is persisted and can withstand system failures. RabbitMQ, on the other hand, has a different approach as it primarily focuses on transient message delivery. Messages may not persist in case of system failures or restarts.

In summary, CouchDB and RabbitMQ have different core functionalities, with CouchDB focused on data storage and retrieval, and RabbitMQ focused on messaging. CouchDB offers powerful querying and replication capabilities, while RabbitMQ specializes in message delivery and processing.

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Advice on CouchDB, RabbitMQ

Gabriel

CEO at Naologic

Jan 2, 2020

Decidedon

CouchDB

Couchbase

Memcached

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

viradiya

Apr 12, 2020

Needs adviceon

AngularJS

ASP.NET Core

MSSQL

We are going to develop a microservices-based application. It consists of AngularJS, ASP.NET Core, and MSSQL.

We have 3 types of microservices. Emailservice, Filemanagementservice, Filevalidationservice

I am a beginner in microservices. But I have read about RabbitMQ, but come to know that there are Redis and Kafka also in the market. So, I want to know which is best.

933k views933k

Comments

André

Technology Manager at GS1 Portugal - Codipor

Jul 30, 2020

Needs adviceon

.NET Core

Hello dear developers, our company is starting a new project for a new Web App, and we are currently designing the Architecture (we will be using .NET Core). We want to embark on something new, so we are thinking about migrating from a monolithic perspective to a microservices perspective. We wish to containerize those microservices and make them independent from each other. Is it the best way for microservices to communicate with each other via ESB, or is there a new way of doing this? Maybe complementing with an API Gateway? Can you recommend something else different than the two tools I provided?

We want something good for Cost/Benefit; performance should be high too (but not the primary constraint).

Thank you very much in advance :)

461k views461k

Comments

Detailed Comparison

CouchDB	RabbitMQ
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.	RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
Terrific single-node database; Clustered database ; HTTP/JSON; Offline first data sync	Robust messaging for applications;Easy to use;Runs on all major operating systems;Supports a huge number of developer platforms;Open source and commercially supported
Statistics
GitHub Stars 6.7K	GitHub Stars 13.2K
GitHub Forks 1.1K	GitHub Forks 4.0K
Stacks 529	Stacks 21.8K
Followers 584	Followers 18.9K
Votes 139	Votes 558
Pros & Cons
Pros 43 JSON 30 Open source 18 Highly available 12 Partition tolerant 11 Eventual consistency	Pros 235 It's fast and it works with good metrics/monitoring 80 Ease of configuration 60 I like the admin interface 52 Easy to set-up and start with 22 Durable Cons 9 Too complicated cluster/HA config and management 6 Needs Erlang runtime. Need ops good with Erlang runtime 5 Configuration must be done first, not by your code 4 Slow

What are some alternatives to CouchDB, RabbitMQ?

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

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.

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

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.

Related Comparisons

CouchDB vs RabbitMQ: What are the differences?

Introduction

CouchDB and RabbitMQ are both popular technologies used in web development and data processing. While they have some similarities, there are also key differences between the two.

Data Storage vs. Message Broker: The primary difference between CouchDB and RabbitMQ lies in their core functionalities. CouchDB is a NoSQL database that focuses on storing and retrieving data, while RabbitMQ is a message broker that facilitates messaging between applications.
Data Structure: CouchDB uses a document-oriented data model, where data is stored in flexible JSON-like documents. It allows for easy storage and retrieval of data without relying on a fixed schema. On the other hand, RabbitMQ utilizes a messaging model based on queues and exchanges, allowing applications to send and receive messages asynchronously.
Querying Capabilities: CouchDB provides powerful querying capabilities through its built-in MapReduce functionality. It allows users to create complex queries and perform aggregations on stored data. In contrast, RabbitMQ does not offer querying capabilities natively. Instead, it relies on consumers to process and interpret the messages received.
Data Replication and Synchronization: CouchDB supports replication and synchronization of data across multiple instances, making it suitable for distributed setups and offline usage scenarios. RabbitMQ, on the other hand, does not provide built-in data replication capabilities. It focuses on message distribution and delivery rather than data synchronization.
Scalability: CouchDB is designed to scale horizontally, meaning it can handle larger amounts of data by distributing it across multiple nodes in a cluster. RabbitMQ, on the other hand, can be scaled horizontally by adding more nodes to the system, but it primarily focuses on handling message delivery and processing rather than data storage.
Data Persistence: CouchDB provides durable data storage, meaning data is persisted and can withstand system failures. RabbitMQ, on the other hand, has a different approach as it primarily focuses on transient message delivery. Messages may not persist in case of system failures or restarts.

CouchDB vs RabbitMQ

Overview

CouchDB vs RabbitMQ: What are the differences?