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What is the diff between JDBC and Hibernate?

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What is the diff between JDBC and Hibernate?

JDBC enables developers to create queries and update data to a relational database using the Structured Query Language (SQL). Hibernate uses HQL (Hibernate Query Language) which is similar to SQL but understands object-oriented concepts like inheritance, association etc.

What is JDBC What is the difference between JDBC and ODBC?

JDBC Stands for Java database connectivity i.e only compatible with java language. ODBC was introduced by Microsoft prior to JDBC in 1992. ODBC is platform dependent as we can use ODBC only for windows platform. On the other hand, JDBC is platform-independent and can be used for any platform.

What is the difference between JDBC and hibernate in Java?

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Developer normally preferred JDBC if there don’t have any chance of changing database or continuation of complex legacy application. Hibernate is always preferable if people are really looking for proper object-relational mapping and define a transactional boundary without any manual effort.

What is the difference between HQL and JDBC?

Hibernate Query Language (HQL) Like JDBC, Hibernate supports Structured Query Language (SQL). However, JDBC only supports SQL while Hibernate also supports the Hibernate Query Language (HQL) as well as Native SQL. Hibernate Query Language (HQL) is similar to SQL in that it is an object-oriented query language.

What is JDBC in Java?

JDBC: JDBC stands for Java Database Connectivity. It is a java application programming interface to provide a connection between the Java programming language and a wide range of databases (i.e), it establishes a link between the two so that a programmer could send data from Java code and store it in the database for future use.

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Why is hibernate so popular in Java?

It is very much popular in between all the available object-relational mapping tools. All the popular framework in Java, especially Spring, easily supported hibernate; that’s why the Spring-Hibernate project is popular enough in the current market. JDBC is mainly used for static application or some legacy application where migration is too costly.