Overview

PostgreSQL

Stacks100.6K

Followers83.9K

Votes3.5K

GitHub Stars19.0K

Forks5.2K

WatermelonDB

Stacks12

Followers123

Votes1

GitHub Stars11.3K

Forks626

PostgreSQL vs WatermelonDB: What are the differences?

Introduction: When comparing PostgreSQL and WatermelonDB, there are key differences that differentiate these two database management systems.

Data storage and querying capabilities: PostgreSQL is a traditional SQL database that is well-known for its robust data storage and querying abilities. It offers complex querying features and supports a wide range of data types. On the other hand, WatermelonDB is an in-memory database built specifically for React Native applications. It is optimized for mobile devices and offers faster querying capabilities compared to PostgreSQL, especially for read-heavy applications.
Data synchronization: PostgreSQL is a server-side database that requires network connectivity to sync data across multiple devices or clients. It utilizes traditional replication methods or third-party tools for data synchronization. In contrast, WatermelonDB is designed for offline-first applications, which means it can sync data seamlessly between the client and server even when the device is offline. It uses a client-side database engine to efficiently manage data synchronization without relying heavily on network connections.
Performance and scalability: PostgreSQL is highly scalable and can handle large volumes of data and concurrent connections efficiently. It is designed to support high-performance applications and can be optimized for specific use cases. WatermelonDB, being a client-side database, may have limitations in terms of scalability compared to PostgreSQL. It is better suited for smaller applications or mobile projects that do not require extensive scalability features.
Development and maintenance complexity: Setting up and maintaining a PostgreSQL database typically requires more technical expertise and resources due to its server-side nature. Administrators need to manage servers, perform backups, and ensure data integrity regularly. On the other hand, WatermelonDB simplifies development and maintenance tasks by providing an intuitive interface and tools specifically tailored for React Native applications. It reduces the complexity of managing database operations, making it easier for developers to focus on application logic.

In Summary, PostgreSQL and WatermelonDB differ in terms of their data storage and querying capabilities, data synchronization methods, performance and scalability, and development complexity, catering to different needs in the realm of database management systems.

Advice on PostgreSQL, 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.

449k views449k

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!

620k views620k

Comments

Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceon

MySQL

PostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k

Comments

Detailed Comparison

PostgreSQL	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.	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.
Statistics
GitHub Stars 19.0K	GitHub Stars 11.3K
GitHub Forks 5.2K	GitHub Forks 626
Stacks 100.6K	Stacks 12
Followers 83.9K	Followers 123
Votes 3.5K	Votes 1
Pros & Cons
Pros 764 Relational database 510 High availability 439 Enterprise class database 383 Sql 304 Sql + nosql Cons 10 Table/index bloatings	Pros 1 Undefined is not an object (evaluating 'columnSchema.ty
Integrations
No integrations available	RxJS React SQLite React Native

What are some alternatives to PostgreSQL, 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.