CouchDB vs PostgreSQL vs WatermelonDB

Overview

PostgreSQL

Stacks103.2K

Followers83.9K

Votes3.6K

GitHub Stars19.0K

Forks5.2K

CouchDB

Stacks530

Followers584

Votes139

GitHub Stars6.7K

Forks1.1K

WatermelonDB

Stacks12

Followers123

Votes1

GitHub Stars11.3K

Forks626

CouchDB vs PostgreSQL vs WatermelonDB: What are the differences?

# Introduction
In this comparison, we will highlight key differences between CouchDB, PostgreSQL, and WatermelonDB, providing insights into their unique features and functionalities.

1. **Data Storage Structure**: CouchDB is a document-oriented NoSQL database, storing data in JSON-like documents. PostgreSQL is a relational database that organizes data into tables, rows, and columns. WatermelonDB is a mobile database that extends SQLite and stores data locally on the device in a structured form suitable for mobile applications.

2. **Querying Capability**: While CouchDB uses MapReduce queries for data retrieval and manipulation, PostgreSQL utilizes SQL for querying data in a relational manner. WatermelonDB introduces its querying language tailored for efficient data retrieval and synchronization in offline-first mobile applications.

3. **Scalability and Performance**: CouchDB is designed for horizontal scalability, making it suitable for distributed environments and large-scale applications. In contrast, PostgreSQL offers exceptional performance for complex queries and transactions in single-node setups. WatermelonDB optimizes data access for mobile devices, prioritizing offline capabilities and efficient synchronization with the backend.

4. **Consistency and Transactions**: PostgreSQL guarantees transactional consistency with ACID properties to ensure data integrity in multi-user environments. CouchDB provides eventual consistency with automatic conflict resolution in distributed setups. WatermelonDB focuses on local data handling and synchronization strategies to maintain consistency across devices in offline scenarios.

5. **Community and Ecosystem**: PostgreSQL has a robust community support and a wide range of extensions, making it highly versatile and customizable for diverse use cases. CouchDB has a smaller but dedicated community focusing on document-store databases. WatermelonDB, being a niche mobile database, offers specialized support for offline-first development and synchronization challenges.

6. **Ease of Use and Integration**: PostgreSQL provides extensive SQL functionalities and integration options with various programming languages and frameworks. CouchDB offers a simple RESTful API for data access and synchronization. WatermelonDB simplifies mobile database interactions with its ORM-like interface and synchronization mechanisms tailored for React Native and other mobile development platforms.

In Summary, the key differences between CouchDB, PostgreSQL, and WatermelonDB lie in their storage structures, querying capabilities, scalability/performance, consistency modes, community support, and ease of use for specific use cases and development environments.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Advice on PostgreSQL, CouchDB, WatermelonDB

Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

Decidedon

PostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

450k views450k

Comments

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!

621k views621k

Comments

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

Detailed Comparison

PostgreSQL	CouchDB	WatermelonDB
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.	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.	WatermelonDB is a new way of dealing with user data in React Native and React web apps. It's optimized for building complex applications in React Native, and the number one goal is real-world performance. In simple words, your app must launch fast.
-	Terrific single-node database; Clustered database ; HTTP/JSON; Offline first data sync	-
Statistics
GitHub Stars 19.0K	GitHub Stars 6.7K	GitHub Stars 11.3K
GitHub Forks 5.2K	GitHub Forks 1.1K	GitHub Forks 626
Stacks 103.2K	Stacks 530	Stacks 12
Followers 83.9K	Followers 584	Followers 123
Votes 3.6K	Votes 139	Votes 1
Pros & Cons
Pros 765 Relational database 511 High availability 439 Enterprise class database 383 Sql 304 Sql + nosql Cons 10 Table/index bloatings	Pros 43 JSON 30 Open source 18 Highly available 12 Partition tolerant 11 Eventual consistency	Pros 1 Undefined is not an object (evaluating 'columnSchema.ty
Integrations
No integrations available	No integrations available	RxJS React SQLite React Native

What are some alternatives to PostgreSQL, CouchDB, WatermelonDB?

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.

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

CouchDB vs PostgreSQL vs WatermelonDB: What are the differences?

# Introduction
In this comparison, we will highlight key differences between CouchDB, PostgreSQL, and WatermelonDB, providing insights into their unique features and functionalities.

1. **Data Storage Structure**: CouchDB is a document-oriented NoSQL database, storing data in JSON-like documents. PostgreSQL is a relational database that organizes data into tables, rows, and columns. WatermelonDB is a mobile database that extends SQLite and stores data locally on the device in a structured form suitable for mobile applications.

2. **Querying Capability**: While CouchDB uses MapReduce queries for data retrieval and manipulation, PostgreSQL utilizes SQL for querying data in a relational manner. WatermelonDB introduces its querying language tailored for efficient data retrieval and synchronization in offline-first mobile applications.

3. **Scalability and Performance**: CouchDB is designed for horizontal scalability, making it suitable for distributed environments and large-scale applications. In contrast, PostgreSQL offers exceptional performance for complex queries and transactions in single-node setups. WatermelonDB optimizes data access for mobile devices, prioritizing offline capabilities and efficient synchronization with the backend.

4. **Consistency and Transactions**: PostgreSQL guarantees transactional consistency with ACID properties to ensure data integrity in multi-user environments. CouchDB provides eventual consistency with automatic conflict resolution in distributed setups. WatermelonDB focuses on local data handling and synchronization strategies to maintain consistency across devices in offline scenarios.

5. **Community and Ecosystem**: PostgreSQL has a robust community support and a wide range of extensions, making it highly versatile and customizable for diverse use cases. CouchDB has a smaller but dedicated community focusing on document-store databases. WatermelonDB, being a niche mobile database, offers specialized support for offline-first development and synchronization challenges.

6. **Ease of Use and Integration**: PostgreSQL provides extensive SQL functionalities and integration options with various programming languages and frameworks. CouchDB offers a simple RESTful API for data access and synchronization. WatermelonDB simplifies mobile database interactions with its ORM-like interface and synchronization mechanisms tailored for React Native and other mobile development platforms.

In Summary, the key differences between CouchDB, PostgreSQL, and WatermelonDB lie in their storage structures, querying capabilities, scalability/performance, consistency modes, community support, and ease of use for specific use cases and development environments.

CouchDB vs PostgreSQL vs WatermelonDB

Overview