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MongoDB VS Doctrine

Compare MongoDB VS Doctrine and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Doctrine logo Doctrine

An object-relational mapper for PHP that provides transparent persistence for PHP objects.
  • MongoDB Landing page
    Landing page //
    2023-10-21
  • Doctrine Landing page
    Landing page //
    2022-05-02

MongoDB features and specs

  • Scalability
    MongoDB offers horizontal scaling through sharding, allowing it to handle large volumes of data and enabling distributed computing.
  • Flexible Schema
    It allows for a flexible schema design using BSON (Binary JSON), making it easier to iterate and change application data models.
  • High Performance
    MongoDB is optimized for read and write throughput, making it suitable for real-time applications.
  • Rich Query Language
    Supports a rich and expressive query language that allows for efficient querying and analytics.
  • Built-in Replication
    Provides robust replication mechanisms for high availability and redundancy.
  • Geospatial Indexing
    Offers powerful geospatial indexing capabilities, useful for location-based applications.
  • Aggregation Framework
    Enables complex data manipulations and transformations using the aggregation pipeline framework.
  • Cross-Platform
    Works on multiple operating systems, enhancing its versatility and deployment options.

Possible disadvantages of MongoDB

  • Memory Usage
    MongoDB can consume a large amount of memory due to its use of memory-mapped files, which may be a concern for some applications.
  • Complex Transactions
    While MongoDB supports ACID transactions, they can be more complex to implement and less efficient compared to traditional relational databases.
  • Data Redundancy
    The flexible schema design can lead to data redundancy and increased storage costs if not managed carefully.
  • Limited Joins
    Joins are supported but can be less efficient and more limited compared to relational databases, affecting complex relational data querying.
  • Indexing Overhead
    Extensive indexing can introduce overhead and impact performance, especially during write operations.
  • Learning Curve
    Requires a different mindset and understanding compared to traditional relational databases, which can present a learning curve for new users.
  • Lacks Mature Analytical Tools
    The ecosystem for analytical tools around MongoDB is not as mature as those for traditional relational databases, which might limit advanced analytics capabilities.
  • Cost
    The cost of using MongoDB's cloud services (MongoDB Atlas) can be high, especially for large-scale deployments.

Doctrine features and specs

  • Object-Relational Mapping
    Doctrine provides a robust ORM (Object-Relational Mapping) capability which allows developers to work with database records as PHP objects, facilitating easier database interactions and abstracting complex SQL queries.
  • Database Abstraction
    It offers database abstraction and supports multiple database systems, making applications more portable and easier to switch between different databases.
  • Lazy Loading
    Doctrine supports lazy loading which defers the loading of related data until it's actually needed, thus optimizing database queries and improving performance.
  • Rich Ecosystem
    Doctrine has a rich ecosystem with a variety of components and extensions that can be used for additional functionality, such as migrations and cache integrations.
  • Well-Documented
    The project is well-documented with extensive guides and tutorials, making it easier for developers to learn and implement in their projects.

Possible disadvantages of Doctrine

  • Complexity
    Doctrine can be complex and have a steep learning curve for newcomers due to its advanced features and extensive configuration options.
  • Performance Overhead
    The additional abstraction layer introduces some performance overhead compared to writing raw SQL queries, which might not be ideal for every application.
  • Configuration Demands
    It requires significant configuration to map the database to entities properly, which can be time-consuming especially for large or complicated schemas.
  • Limited Query Customization
    While Doctrine's DQL (Doctrine Query Language) is powerful, it might not cover all complex query needs efficiently, leading developers to resort to raw SQL.
  • Potential for Overkill
    For small projects or simple CRUD applications, Doctrine might be considered overkill due to its complexity and the amount of setup required.

MongoDB videos

+ Add

MySQL vs MongoDB

More videos:

  • Review - The Good and Bad of MongoDB
  • Review - what is mongoDB

Doctrine videos

+ Add

Phantom Doctrine Review

More videos:

  • Review - PHANTOM DOCTRINE - XCOM-Like Cold War REVIEW | Worth the buy? [2018]
  • Review - The Shock Doctrine | 5 Minute Review | #books #economics #politics #history

Category Popularity

0-100% (relative to MongoDB and Doctrine)

MongoDB

Doctrine

Databases
100 100%
Databases
0% 0
Legal
0 0%
Legal
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Development
0 0%
Development
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare MongoDB and Doctrine

MongoDB Reviews

10 Top Firebase Alternatives to Ignite Your Development in 2024
MongoDB’s superpower lies in its flexibility. Its document-based model lets you store data in a free-form, schema-less way, making it adaptable to evolving application needs. Need to add a new field or change the structure of your data? No problem, MongoDB handles it with ease.
Source: genezio.com
Top 7 Firebase Alternatives for App Development in 2024
MongoDB Realm provides a robust alternative to Firebase, especially for apps requiring a flexible data model. Key features include:
Source: signoz.io
Announcing FerretDB 1.0 GA - a truly Open Source MongoDB alternative
MongoDB is no longer open source. We want to bring MongoDB database workloads back to its open source roots. We are enabling PostgreSQL and other database backends to run MongoDB workloads, retaining the opportunities provided by the existing ecosystem around MongoDB.
Source: blog.ferretdb.io
16 Top Big Data Analytics Tools You Should Know About
The database added a new feature to its list of attributes called MongoDB Atlas. It is a global cloud database technology that allows to deploy a fully managed MongoDB across AWS, Google Cloud, and Azure with its built-in automation for resource, workload optimization and to reduce the time required to handle the database.
Source: www.analytixlabs.co.in
9 Best MongoDB alternatives in 2019
MongoDB is an open source NoSQL DBMS which uses a document-oriented database model. It supports various forms of data. However, in MongoDB data consumption is high due to de-normalization.
Source: www.guru99.com

Doctrine Reviews

We have no reviews of Doctrine yet.
Be the first one to post

Social recommendations and mentions

Based on our record, MongoDB seems to be more popular. It has been mentiond 18 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

MongoDB mentions (18)

  • Creating AI Memories using Rig & MongoDB
    In this article, we’ll build a CLI tool using the Rig AI framework and MongoDB for retrieval-augmented generation (RAG). This tool will store summarized conversations in a database and retrieve them when needed, enabling the AI to maintain context over time. - Source: dev.to / 2 months ago
  • The Adventures of Blink S2e2: Database, Contained
    Have a Mongo database holding the various phrases we're going to use and potentially configuration data for the frontend as well. - Source: dev.to / 9 months ago
  • Introducing Perseid: The Product-oriented JS framework
    It's also worth mentioning that Perseid provides out-of-the-box support for React, VueJS, Svelte, MongoDB, MySQL, PostgreSQL, Express and Fastify. - Source: dev.to / 8 months ago
  • DocumentDB Elastic Cluster Pricing
    Does anyone know if the most basic Elastic Cluster instance of DocumentDB carries any monthly fixed cost or is it just on-demand cost? Another words if I run like 10,000 queries against the DB per month, what kind of bill would I expect? This is for a super small app. I am currently using mongodb free tier , but want to migrate everything to AWS. Can't seem to find a straight answer to the pricing question. Source: over 2 years ago
  • I wrote some scripts for converting the UTZOO Usenet archive to a Mongo Database
    You can use either MongoDB.com's dashboard (if you host a remote database) or Mongo Compass to run queries on the data or you can modify the express middleware with your own queries. I'm still working on the API, so it's not very robust yet. I will update this when it is. Source: over 2 years ago
View more

Doctrine mentions (0)

We have not tracked any mentions of Doctrine yet. Tracking of Doctrine recommendations started around Mar 2021.

What are some alternatives?

When comparing MongoDB and Doctrine, you can also consider the following products

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Hibernate - Hibernate an open source Java persistence framework project.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Mikro orm - TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns.

MySQL - The world's most popular open source database

Beego - Beego Web is official blog and documentation website for beego app web framework

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