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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Doctrine 2 vs PostgreSQL

Doctrine 2 vs PostgreSQL

OverviewDecisionsComparisonAlternatives

Overview

PostgreSQL
PostgreSQL
Stacks103.0K
Followers83.9K
Votes3.6K
GitHub Stars19.0K
Forks5.2K
Doctrine 2
Doctrine 2
Stacks284
Followers207
Votes31

Doctrine 2 vs PostgreSQL: What are the differences?

Introduction

In this article, we will explore the key differences between Doctrine 2 and PostgreSQL.

  1. Language Support: Doctrine 2 is a PHP ORM (Object-Relational Mapping) library that allows developers to interact with databases using PHP code, while PostgreSQL is an open-source relational database management system that supports multiple programming languages including PHP.

  2. Database Compatibility: Doctrine 2 is compatible with a wide range of databases, not limited to PostgreSQL, including MySQL, SQL Server, Oracle, and SQLite. On the other hand, PostgreSQL is a self-contained database management system that supports itself and does not require any additional ORM libraries.

  3. Data Type Handling: Doctrine 2 provides flexible data type handling by automatically converting PHP data types to corresponding database types. PostgreSQL, on the other hand, has a rich set of data types and comprehensive support for various data types like arrays, JSON, hstore, and geometric types.

  4. Query Language: Doctrine 2 uses a query language called DQL (Doctrine Query Language), which is similar to SQL but includes object-oriented concepts. PostgreSQL primarily uses SQL (Structured Query Language), which is a standard language for managing relational databases.

  5. Transaction Management: Doctrine 2 provides its own transaction management system, allowing developers to handle database transactions in a more flexible way. PostgreSQL also supports transactions but uses a more traditional approach by providing transaction support at the database level.

  6. Scalability and Performance: Doctrine 2 is known for its flexibility and ease of use, making it suitable for small to medium-sized projects. PostgreSQL, on the other hand, is a highly scalable and performant database system that can handle large amounts of data and high concurrency levels.

In summary, Doctrine 2 is a PHP ORM library that offers flexible data type handling, supports multiple databases including PostgreSQL, and provides a convenient transaction management system. PostgreSQL, on the other hand, is a powerful and scalable database management system with extensive data type support and superior performance capabilities.

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Advice on PostgreSQL, Doctrine 2

Kyle
Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

DecidedonPostGISPostGIS

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
George

Student

Mar 18, 2020

Needs adviceonPostgreSQLPostgreSQLPythonPythonDjangoDjango

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
Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceonMySQLMySQLPostgreSQLPostgreSQL

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
PostgreSQL
Doctrine 2
Doctrine 2

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.

Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL.

Statistics
GitHub Stars
19.0K
GitHub Stars
-
GitHub Forks
5.2K
GitHub Forks
-
Stacks
103.0K
Stacks
284
Followers
83.9K
Followers
207
Votes
3.6K
Votes
31
Pros & Cons
Pros
  • 765
    Relational database
  • 511
    High availability
  • 439
    Enterprise class database
  • 383
    Sql
  • 304
    Sql + nosql
Cons
  • 10
    Table/index bloatings
Pros
  • 14
    Great abstraction, easy to use, good docs
  • 10
    Object-Oriented
  • 7
    Easy setup
Integrations
No integrations available
PHP
PHP

What are some alternatives to PostgreSQL, Doctrine 2?

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.

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.

InfluxDB

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.

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