If developers worry that code annotation couples the database too tightly with the application, Hibernate also provides the opportunity to write the entire database configuration in a completely external XML file.
Compared to Hibernate, JDBC is very procedural and tightly coupled with the database. However, this transformation process from JDBC results to object-oriented components requires a great deal of boiler-plate code, and it is tedious, cumbersome and error-prone. The JDBC API provides classes, such as the ResultSet and the PreparedStatement, which allows the tabular data to be consumed and transformed into components that are compatible with Java's object-oriented constructs. Responses returned to a Java program from a typical SQL query are usually in a tabular format. SQL is a database standard that requires knowledge about the structure of the tables, rows and columns that exist in the backend database. Java uses the database language SQL to speak to the database it connects to. The JDBC API was packaged as part of the Java Standard Edition (Java SE) ever since the 1997 release of JDK 1.1, and provides a collection of easy-to-use classes and methods that allow developers to write code that can connect to a wide range of databases. The long answer requires a history lesson on database access with Java. The short answer on the fundamental difference between JDBC and Hibernate is that Hibernate performs an object-relational mapping framework, while JDBC is simply a database connectivity API. The difference between JDBC and Hibernate JDBC and Hibernate have some similarities, and their names are often used interchangeably, but they are not the same. It's important to distinguish between the two database APIs.
Java hibernate how to#
JDBC debate, as the two database technologies provide decidedly different approaches to how to work with persistent data. The decision often comes down to the Hibernate vs.
Java hibernate software#
Software architects face an important technical problem when they must decide how to best interact with backend database systems.
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