Object Model versus Object Relational Mapper differences

An ORM (Object-Relational Mapping) tool is a framework that provides a mapping between the relational database schema and the application's object model. It mirrors the database schema by defining entity types and relationships, and it acts as a connection holder and a context for creating and executing queries through the DBMS. Additionally, an ORM:

Automates CRUD Operations: It simplifies the creation, reading, updating, and deleting of records by allowing developers to work with high-level object abstractions instead of raw SQL queries.
Manages Transactions: It helps in managing database transactions, ensuring data integrity and consistency.
Handles Lazy Loading and Eager Loading: It allows for efficient data retrieval strategies to optimize performance and resource usage.
Provides Caching Mechanisms: It can cache frequently accessed data to improve performance.
Supports Change Tracking: It keeps track of changes made to objects and can automatically generate the necessary SQL to update the database.
Facilitates Database Migrations: It often includes tools for managing database schema changes over time.
Ensures Data Validation: It can enforce validation rules and constraints defined in the object model, ensuring that only valid data is persisted to the database.

By abstracting the underlying database interactions, an ORM enables developers to focus more on the business logic and less on the intricacies of database management.

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Sarthak Varshney2y ago
Accepted answer
An ORM (Object-Relational Mapping) tool is a framework that provides a mapping between the relational database schema and the application's object model. It mirrors the database schema by defining entity types and relationships, and it acts as a connection holder and a context for creating and executing queries through the DBMS. Additionally, an ORM:
- Automates CRUD Operations: It simplifies the creation, reading, updating, and deleting of records by allowing developers to work with high-level object abstractions instead of raw SQL queries.
- Manages Transactions: It helps in managing database transactions, ensuring data integrity and consistency.
- Handles Lazy Loading and Eager Loading: It allows for efficient data retrieval strategies to optimize performance and resource usage.
- Provides Caching Mechanisms: It can cache frequently accessed data to improve performance.
- Supports Change Tracking: It keeps track of changes made to objects and can automatically generate the necessary SQL to update the database.
- Facilitates Database Migrations: It often includes tools for managing database schema changes over time.
- Ensures Data Validation: It can enforce validation rules and constraints defined in the object model, ensuring that only valid data is persisted to the database.
By abstracting the underlying database interactions, an ORM enables developers to focus more on the business logic and less on the intricacies of database management.