Difference between JDBC and Hibernate in Java Last Updated : 21 Mar, 2023 Comments Improve Suggest changes Like Article Like Report Java is one of the most powerful and popular server-side languages in the current scenario. One of the main features of a server-side language is the ability to communicate with the databases. In this article, let's understand the difference between two ways of connecting to the database (i.e.) JDBC and Hibernate. Before getting into the differences, let us first understand what each of them actually means. 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. Hibernate is an open-source, non-invasive, lightweight java ORM(Object-relational mapping) framework to develop objects which are independent of the database software and make independent persistence logic in all JAVA, and JEE. It simplifies the interaction of java applications with databases. Hibernate is an implementation of JPA(Java Persistence API). The following table describes the differences: JDBCHibernateIn JDBC, one needs to write code to map the object model's data representation to the schema of the relational model.Hibernate maps the object model's data to the schema of the database itself with the help of annotations.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.JDBC code needs to be written in a try-catch databases block as it throws checked exceptions (SQLexception).Whereas Hibernate manages the exceptions itself by marking them as unchecked.JDBC is database dependent i.e. one needs to write different codes for different database.Whereas Hibernate is database-independent and the same code can work for many databases with minor changes.Creating associations between relations is quite hard in JDBC.Associations like one-to-one, one-to-many, many-to-one, and many-to-many can be acquired easily with the help of annotations.It is a database connectivity tool.It is a Java framework.Lazy Loading is not supported.Lazy Loading is supported.It has low performance than Hibernate.It has high performance.One needs to maintain explicitly database connections and transactions. It itself manages its own transactions.It has a dedicated customer support service system.Waiting time is more for any answer to an issue. Comment More infoAdvertise with us Next Article Difference between JDBC and Hibernate in Java A AakashYadav4 Follow Improve Article Tags : Java Computer Subject Difference Between JDBC java-advanced +1 More Practice Tags : Java Similar Reads Hibernate - Difference Between List and Bag Mapping Hibernate supports both List and Bag Mapping and Set Mapping too. Hence there will be a tradeoff, regarding which is the best data type to use. The choice will be purely based on requirements but still, let us see the differences between them. Whenever there is a one-to-many relationship or many-to- 3 min read Difference between HBase and MongoDB 1. HBase: This model is used to provide random access to a large amount of structured data. It builds on the top of the Hadoop file system and is column-oriented in nature. It is used to store the data in HDFS. It is an open-source database that provides data replication. Advantages: High availabili 2 min read Difference between Hive and MongoDB 1. Hive : Hive is a data warehouse software for querying and managing large distributed datasets, built on Hadoop. It is developed by Apache Software Foundation in 2012. It contains two modules, one is MapReduce and another is Hadoop Distributed File System (HDFS). It stores schema in a database and 2 min read Difference between ODBC and JDBC JDBC (Java Database Connectivity) and ODBC (Open Database Connectivity). These both are API standards used for connecting applications to databases. ODBC can be used by various programming languages as it is a general API standard. But JDBC is Java-specific and it provides a Java-based interface for 2 min read Difference between Hive and Oracle 1. Hive : Hive is an open-source data warehouse software. It is built on the top of Hadoop. It also provides HiveQL which is similar to SQL. Hive is used for querying and managing distributed datasets built on Hadoop. Hive uses RDBMS as a primary database model. 2. Oracle : Oracle is commercial soft 2 min read Like