JDBC and Hibernate
The acronym JDBC stands for Java database connectivity. It's what connects your program to the database and handles transactions, and it's a Java API that's open source.
Hibernate is also used to connect your application to a database and perform database-related activities, but it does so in a slightly different way. It has an object relationship library that translates the database tables and columns to java objects. It enables object-oriented database programming. Hibernate makes it possible to access database data using HQL.
- Database connectivity technology is known as JDBC. Hibernate, on the other hand, is a framework.
- JDBC does not support lazy loading. Hibernate supports lazy loading.
- In JDBC, we must explicitly maintain the database connection and transaction. All transactions are managed using Hibernate.
- To achieve caching in JDBC, we must write code. Hibernate supports two types of caching: First-level cache and second-level cache; first-level cache does not require any additional code.
- JDBC is a slow database. Hibernate is a high-performance database.
Advantages of JDBC
The following are some of the advantages of using:
- It can read any database. The only condition for it is that all drivers be appropriately installed.
- It extracts data from the database and converts it to XML format.
- It does not necessitate the conversion of the content.
- It fully supports queries and stored procedures.
- Both synchronous and asynchronous processing is supported.
- Modules are supported.
Disadvantages of JDBC
It, like the majority of APIs, has several drawbacks. Here are some drawbacks listed below:
- When it comes to the driver, it is delicate. As a result, installing and deploying the necessary drivers for each type of database is critical to use it. This is a time-consuming and, at times, difficult task.
- It is impossible to update or insert several tables using a single sequence.
