Solarwinds Database Mapper

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Edward

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Aug 3, 2024, 5:32:52 PM8/3/24

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ORM, also known as O/R mapping, is the programming mechanism for efficiently mapping application model objects to the corresponding RDB tables. OOP has multiple states and codes in a complex format making it difficult to comprehend and interpret. O/R mapping helps developers understand the underlying database structure by creating a structured map explaining how objects are related to different tables. ORM offers high-level RDB abstraction allowing developers to write code in simple programming languages of their choice instead of using SQL to access, add, update, and delete data and schemas in the respective database. In other words, ORM forms a layer between the language and the database, allowing programmers to work with data without the OOP paradigm.

O/R mapping employs an object-relational mapper, a code library providing an object-oriented layer between OOP languages and RDBs while eliminating the need to write SQL queries. Based on the principle of abstraction, the object-relational mapper generates a layer of logic without specifying the underlying details of the code. Therefore, it describes the relationship between an object and the data without establishing how the data is structured. Programmers can use the objects to access, interact, and manipulate the database without writing optimized and complex SQL code.

An object-relational mapper standardizes interfaces and automates data transfer from RDB tables into frequently used objects in application code. It helps to accelerate application development and saves developers an enormous amount of time. Object-relational mapper software uses objects to translate data between tables and generate the SQL code to insert, update, and delete data for every change the application makes to the data object. It masks and encapsulates the changes in the data source to ensure there are no changes in the applications when data sources or their APIs change. The object standardization capability of ORM mapping supports application data management needs without requiring developers to write any code repetitively.

Object-relational mapping tools help developers automate object-to-table and table-to-object data conversion while connecting a database to an application with minimum SQL knowledge. O/R mapping allows developers to overcome the challenges of writing and interpreting SQL code and instead focus on generating business logic to ensure higher productivity with lower development and maintenance costs.

Object-relational mapping simplifies the development process by offering programming flexibility in any language. ORM tools also allow developers to reuse the data by building a class library to create a separate dynamic-link library (DLL). It helps developers create a new application without necessitating the duplication of the data-access code.

An effective ORM tool also ensures security for applications by shielding them from SQL injection attacks. The O/R mapping framework helps to filter the data to ensure robust safety for the developed applications.

Object-relational mapping tools play an essential role in efficiently mapping an array of related objects to the schema of an RDB to ensure higher productivity and minimum costs. Outlined below are what we feel are some of the best ORM tools on the market.

TypeORM is also an open-source O/R mapping tool used with JavaScript and TypeScript and supports both Active Record and Data Mapper patterns. It can allow developers to write high-quality, scalable, loosely coupled, and easy-to-maintain applications in a highly productive manner. It can help users ensure consistent support for small applications with only a few tables, up to large-scale enterprise applications having multiple databases.

Entity Framework is an open-source O/R mapping framework for .NET applications. It can help developers overcome the need to write complicated data-access code by enabling them to operate at a higher level of abstraction without focusing on the underlying database tables and columns where the actual data is stored. Unlike the traditional application development process, we think Entity Framework can allow developers to create and maintain data-oriented applications with less code.