What is an ORM – The Meaning of Object Relational Mapping Database Tools (2024)

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What is an ORM – The Meaning of Object Relational Mapping Database Tools (1)
Ihechikara Vincent Abba
What is an ORM – The Meaning of Object Relational Mapping Database Tools (2)

Object Relational Mapping (ORM) is a technique used in creating a "bridge" between object-oriented programs and, in most cases, relational databases.

Put another way, you can see the ORM as the layer that connects object oriented programming (OOP) to relational databases.

When interacting with a database using OOP languages, you'll have to perform different operations like creating, reading, updating, and deleting (CRUD) data from a database. By design, you use SQL for performing these operations in relational databases.

While using SQL for this purpose isn't necessarily a bad idea, the ORM and ORM tools help simplify the interaction between relational databases and different OOP languages.

An ORM tool is software designed to help OOP developers interact with relational databases. So instead of creating your own ORM software from scratch, you can make use of these tools.

Here's an example of SQL code that retrieves information about a particular user from a database:

"SELECT id, name, email, country, phone_number FROM users WHERE id = 20"

The code above returns information about a user — name, email, country, and phone_number — from a table called users. Using the WHERE clause, we specified that the information should be from a user with an id of 20.

On the other hand, an ORM tool can do the same query as above with simpler methods. That is:

users.GetById(20)

So the code above does the same as the SQL query. Note that every ORM tool is built differently so the methods are never the same, but the general purpose is similar.

ORM tools can generate methods like the one in the last example.

Most OOP languages have a variety of ORM tools that you can choose from. Here are some of the most popular for Java, Python, PHP, and .NET development:

Popular ORM Tools for Java

1. Hibernate

Hibernate enables developers to write data persistent classes following OOP concepts like inheritance, polymorphism, association, composition. Hibernate is highly performant and is also scalable.

2. Apache OpenJPA

Apache OpenJPA is also a Java persistence tool. It can be used as a stand-alone POJO (plain old Java object) persistence layer.

3. EclipseLink

EclipseLink is an open source Java persistence solution for relational, XML, and database web services.

4. jOOQ

jOOQ generates Java code from data stored in a database. You can also use this tool to build type safe SQL queries.

5. Oracle TopLink

You can use Oracle TopLink to build high-performance applications that store persistent data. The data can be transformed into either relational data or XML elements.

Popular ORM Tools for Python

1. Django

Django is a great tool for building web applications rapidly.

2. web2py

web2py is an open source full-stack Python framework for building fast, scalable, secure, and data-driven web applications.

3. SQLObject

SQLObject is an object relational manager that provides an object interface to your database.

4. SQLAlchemy

SQLAlchemy provides persistence patterns designed for efficient and high-performing database access.

Popular ORM Tools for PHP

1. Laravel

Laravel comes with an object relational manager called Eloquent which makes interaction with databases easier.

2. CakePHP

CakePHP provides two object types: repositories which give you access to a collection of data and entities which represents individual records of data.

3. Qcodo

Qcodo provides different commands that can be run in the terminal to interact with databases.

4. RedBeanPHP

RedBeanPHP is a zero config object relational mapper.

Popular ORM Tools for .NET

1. Entity Framework

Entity Framework is a multi-database object-database mapper. It supports SQL, SQLite, MySQL, PostgreSQL, and Azure Cosmos DB.

2. NHibernate

NHibernate is an open source object relational mapper with tons of plugins and tools to make development easier and faster.

3. Dapper

Dapper is a micro-ORM. It is mainly used to map queries to objects. This tool doesn't do most of the things an ORM tool would do like SQL generation, caching results, lazy loading, and so on.

4. Base One Foundation Component Library (BFC)

BFC is a framework for creating networked database applications with Visual Studio and DBMS software from Microsoft, Oracle, IBM, Sybase, and MySQL

You can see more ORM tools here.

Now let's discuss some of the advantages and disadvantages of using ORM tools.

Advantages of Using ORM Tools

Here are some of the advantages of using an ORM tool:

  • It speeds up development time for teams.
  • Decreases the cost of development.
  • Handles the logic required to interact with databases.
  • Improves security. ORM tools are built to eliminate the possibility of SQL injection attacks.
  • You write less code when using ORM tools than with SQL.
  • Learning how to use ORM tools can be time consuming.
  • They are likely not going to perform better when very complex queries are involved.
  • ORMs are generally slower than using SQL.

Summary

In this article, we talked about Object Relational Mapping. This is a technique used to connect object oriented programs to relational databases.

We listed some of the popular ORM tools for different programming languages.

We concluded with some of the advantages and disadvantages of using ORM tools. languages.

Happy coding!

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What is an ORM – The Meaning of Object Relational Mapping Database Tools (2024)

FAQs

What is an ORM – The Meaning of Object Relational Mapping Database Tools? ›

An Object-Relational Mapping tool, ORM, is a framework that can help and simplify the translation between the two paradigms

paradigms
A programming paradigm is a relatively high-level way to structure and conceptualize the implementation of a computer program. A programming language can be classified as supporting one or more paradigms. Paradigms are separated along and described by different dimensions of programming.
https://en.wikipedia.org › wiki › Programming_paradigm
: objects and relational database tables. It can use class definitions (models) to create, maintain and provide full access to objects' data and their database persistence.

What does ORM mean in a database? ›

Object-relational mapping (ORM) connects object-oriented program (OOP) code with a database and simplifies relational database and OOP language interactions.

What is the meaning of ORM tool? ›

An ORM, or Object Relational Mapper, is a piece of software designed to translate between the data representations used by databases and those used in object-oriented programming.

What does ORM stand for object relational mapping? ›

Object–relational mapping (ORM, O/RM, and O/R mapping tool) in computer science is a programming technique for converting data between a relational database and the heap of an object-oriented programming language.

What is in ORM? ›

Object Relational Mapping (ORM) is a technique used in creating a "bridge" between object-oriented programs and, in most cases, relational databases. Put another way, you can see the ORM as the layer that connects object oriented programming (OOP) to relational databases.

What is the difference between relational database and ORM? ›

The ER model's main focus is on entities, and how they interact with each other. The relational model is more focused on information, and tables with related data make up the database.

What is the ORM process? ›

ORM is the process of dealing with the risks associated with military operations, which includes: risk assessment, risk decision making and implementation of effective risk controls. Objectives.

What is the difference between SQL and ORM? ›

SQL requires developers to work directly with code. That means it's often easier for them to carry out low-level troubleshooting because they can see exactly what queries got them to a certain point. ORM works with a layer between the developer and the code, so it's not easy to see what's happening in the background.

When should ORM be used? ›

When Should I use an ORM?
  1. Productivity – Since engineers do not need to spend time creating SQL statements, they can focus more on their code. ...
  2. Better Designed Code – A well written ORM can force design patterns that use best practices for application design.
Dec 30, 2022

What is relational mapping in DBMS? ›

A relational mapping transforms any object data member type to a corresponding relational database (SQL) data source representation in any supported relational database. Relational mappings let you map an object model into a relational data model.

Should I use ORM for database? ›

Using an ORM frees the programmer from having to understand complex SQL statements. This improves development time, and subsequently, time to market. ORMs map the object-oriented programs to an underlying relational data structure. They create a structured map to help engineers understand the underlying structure.

Is ORM SQL or NoSQL? ›

Instead of SQL, which is what relational databases use, NoSQL databases use object-relational-mapping (ORM) to facilitate communication with its data.

Why is ORM better than SQL? ›

ORMs can be useful abstractions that make working with databases a lot easier. They can help you design and iterate quickly and bridge the conceptual differences between the application logic and database structures.

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