PostgreSQL vs Realm

Overview

PostgreSQL

Stacks103.0K

Followers83.9K

Votes3.6K

GitHub Stars19.0K

Forks5.2K

Realm

Stacks279

Followers441

Votes16

PostgreSQL vs Realm: What are the differences?

Scalability: PostgreSQL is a mature and highly scalable relational database management system that can handle large amounts of data and high traffic easily. On the other hand, Realm is a NoSQL database that focuses on mobile and real-time applications, providing automatic scaling and synchronization between devices and servers, making it more suitable for mobile and real-time applications rather than large-scale data processing.
Data Modeling: PostgreSQL uses a traditional SQL schema-based data modeling approach, where the database structure is defined using tables, columns, and relationships. Realm, on the other hand, uses an object-oriented data modeling approach, where data is organized into objects and relationships are established using object references. This makes it easier to work with complex data structures and relationships in Realm compared to PostgreSQL.
Data Synchronization: PostgreSQL does not provide built-in data synchronization capabilities. Any synchronization required between multiple instances of PostgreSQL databases needs to be implemented using custom solutions or third-party tools. In contrast, Realm provides automatic data synchronization between devices and servers, allowing real-time data updates and conflict resolution. This makes it easier to build applications that require synchronization across multiple devices and platforms.
Platform Support: PostgreSQL is a cross-platform relational database management system that can be installed and used on various operating systems including Windows, macOS, and Linux. Realm, on the other hand, is primarily focused on mobile platforms and provides native SDKs for iOS and Android. While Realm can also be used on other platforms through REST APIs, its primary strength lies in mobile application development.
Query Language: PostgreSQL uses SQL (Structured Query Language) for querying and manipulating data, which is a powerful and widely adopted standard for relational databases. Realm, on the other hand, uses a query language called Realm Query Language (RQL), which is specifically designed for object-oriented databases. RQL provides a simplified syntax for querying objects and supports filtering, sorting, and aggregation operations.
Transaction and ACID Compliance: PostgreSQL supports transactional operations and provides ACID (Atomicity, Consistency, Isolation, Durability) compliance, which ensures data integrity and consistency. Realm, on the other hand, does not provide full ACID compliance and has a different approach to transactions, focusing on real-time data updates and synchronization. While Realm ensures eventual consistency across devices, it may not be suitable for applications that require strict transactional guarantees.

In Summary, PostgreSQL is a scalable relational database management system with a traditional schema-based approach, while Realm is a NoSQL database focusing on mobile and real-time applications with object-oriented data modeling, automatic data synchronization, and a simplified query language.

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Advice on PostgreSQL, Realm

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	Realm
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.	The Realm Mobile Platform is a next-generation data layer for applications. Realm is reactive, concurrent, and lightweight, allowing you to work with live, native objects.
-	Feels like Home - Realm’s data structures look like the Objects and Arrays of your language, but provide additional features such as: querying, relationships & graphs, thread safety, and more.;Memory-Efficient - Realm is not built on SQLite. Instead, a custom C++ core is used to provide memory-efficient access to your data by using Realm objects, which usually consume less RAM than native objects.;F-F-Fast! - Realm offers extraordinary performance compared to SQLite and other persistence solutions.
Statistics
GitHub Stars 19.0K	GitHub Stars -
GitHub Forks 5.2K	GitHub Forks -
Stacks 103.0K	Stacks 279
Followers 83.9K	Followers 441
Votes 3.6K	Votes 16
Pros & Cons
Pros 765 Relational database 511 High availability 439 Enterprise class database 383 Sql 304 Sql + nosql Cons 10 Table/index bloatings	Pros 7 Good 3 Elegant API 3 Cloud Syncing 2 React Native Support 1 Strong Adoption Growth Cons 1 No offline support for web till now

What are some alternatives to PostgreSQL, Realm?

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

PostgreSQL vs Realm: What are the differences?

Scalability: PostgreSQL is a mature and highly scalable relational database management system that can handle large amounts of data and high traffic easily. On the other hand, Realm is a NoSQL database that focuses on mobile and real-time applications, providing automatic scaling and synchronization between devices and servers, making it more suitable for mobile and real-time applications rather than large-scale data processing.
Data Modeling: PostgreSQL uses a traditional SQL schema-based data modeling approach, where the database structure is defined using tables, columns, and relationships. Realm, on the other hand, uses an object-oriented data modeling approach, where data is organized into objects and relationships are established using object references. This makes it easier to work with complex data structures and relationships in Realm compared to PostgreSQL.
Data Synchronization: PostgreSQL does not provide built-in data synchronization capabilities. Any synchronization required between multiple instances of PostgreSQL databases needs to be implemented using custom solutions or third-party tools. In contrast, Realm provides automatic data synchronization between devices and servers, allowing real-time data updates and conflict resolution. This makes it easier to build applications that require synchronization across multiple devices and platforms.
Platform Support: PostgreSQL is a cross-platform relational database management system that can be installed and used on various operating systems including Windows, macOS, and Linux. Realm, on the other hand, is primarily focused on mobile platforms and provides native SDKs for iOS and Android. While Realm can also be used on other platforms through REST APIs, its primary strength lies in mobile application development.
Query Language: PostgreSQL uses SQL (Structured Query Language) for querying and manipulating data, which is a powerful and widely adopted standard for relational databases. Realm, on the other hand, uses a query language called Realm Query Language (RQL), which is specifically designed for object-oriented databases. RQL provides a simplified syntax for querying objects and supports filtering, sorting, and aggregation operations.
Transaction and ACID Compliance: PostgreSQL supports transactional operations and provides ACID (Atomicity, Consistency, Isolation, Durability) compliance, which ensures data integrity and consistency. Realm, on the other hand, does not provide full ACID compliance and has a different approach to transactions, focusing on real-time data updates and synchronization. While Realm ensures eventual consistency across devices, it may not be suitable for applications that require strict transactional guarantees.

PostgreSQL vs Realm

Overview