Object-Relational Mapping (ORM) is the process of converting data from tables stored in a relational database to easily usable objects in an object-oriented programming language, and vice versa. Many apps use object-oriented programming, but the data is still stored in relational tables. This is where ORM comes in.
How does ORM work?
ORM operates as a translator between object-oriented programming languages and relational databases. It maps object models and their properties, which creates tables and fields in relational database management systems, then defines relationships between objects, and structures complex data in the most effective way possible.
When is ORM useful?
ORM is particularly useful when there are complex relationships in the object model, such as many-to-many relationships, which take significant time to store using relational database management systems. Object databases have been created specifically to address this “impedance mismatch”.
FAQ
What is the purpose of ORM?
The purpose of ORM is to simplify the interaction between object-oriented programming languages and relational databases, making it easier to use and manage data.
How is ORM implemented?
ORM can be implemented using object-oriented programming language commands or through an external ORM software application available in the market.
What are some benefits of using ORM?
ORM simplifies code and data management, reduces repetitive coding activities, improves code maintainability and flexibility, and eliminates the need for writing complex SQL statements.
Final thoughts
ORM is an essential process for modern-day programming languages that rely heavily on relational databases. It saves time and makes code cleaner, more manageable, and more efficient in the long run. It can be used with object-oriented programming languages and is well-suited to complex and large-scale data models.
