JDBC vs ODBC

Difference Between JDBC vs ODBC

Java Database Community (JDBC) is basically an application programming interphase for the Java programming language to determine the client’s database access features. It is used to provide a different set of interphases for giving portable access to different databases. It can have a direct impact on below-mentioned applications.

• Java Servlets
• Java Applets
• Java-based Applications
• Enterprise JavaBeans (EJBs)
• Java Server Pages (JSPs)

The basic JDBC architecture supports both two-tier and three tire layer processing DB models but mainly it consists of two layers architecture.

• JDBC API: It is mainly used for the communication between application and the related JDBC manager connection
• JDBC Driver API: It is mainly used for the communication between JDBC driver and the related JDBC manager connection

JDBC API also consists of the below mentioned five interphases.

• Driver: It mainly deals with the communication between different database servers
• Connection: It mainly deals with the communication between different database using connection objects
• Driver Manager: It is mainly used to manage a different set of database drivers
• SQL Exception: It mainly deals with the error handling across different databases
• ResultSet: It is mainly to store and retrieve the data results after the successful SQL query execution across different databases.

Open Database Connectivity (ODBC) is basically a standard application programming interphase for communicating and accessing database management systems. It was initially developed by Microsoft and Simba Technologies in 1990. It mainly interacts with the database servers using ODBC drivers and the same works as a translation layer between DBMS and the application.

Head To Head Comparison Between JDBC vs ODBC (Infographics)

Below is the top 8 difference between JDBC vs ODBC

Key Differences Between JDBC vs ODBC

Both JDBC vs ODBC are popular choices in the market; let us discuss some of the major Difference Between JDBC vs ODBC

1. Java Database Community (JDBC) is basically an application programming interphase for the Java programming language to determine the client’s database access features whereas Open Database Connectivity (ODBC) is basically a standard application programming interphase for communicating and accessing database management systems.
2. Being implemented on Java, JDBC can only be enhanced and implemented on java languages whereas, In case of ODBC, it can be implemented for any languages viz. C, C++, Java etc.
3. JDBC is object-oriented whereas ODBC is procedural.
4. In case of JDBC, it is mainly used by Apache Tomcat web server and mainly implemented on Linux based web server. But it also runs on JBoss and IBM application servers. So if the execution is processed in the Linux based servers than JDBC is more preferable than ODBC. In the case of ODBC, it is mainly based on the Microsoft IIS server and is implemented on windows based systems.
5. JDBC mainly works with respect to the Java Security Model whereas ODBC is mainly based and implemented on the Windows NT Security Architecture Model.
6. JDBC is mainly based on Java and thus it becomes platform independent. Hence, it can work on any platforms irrespective of MS Windows and Linux based platforms. But this is not the case with ODBC and it can only work on the Microsoft Windows platforms.
7. The basic JDBC architecture supports both two-tier and three tire layer processing DB models but mainly it consists of two layers of architecture viz. JDBC API and JDBC Driver API whereas The ODBC architecture mainly consist of four components viz. The driver, Driver Manager, API, and Data Source.

JDBC vs ODBC Comparison Table

Below is the topmost comparison between JDBC vs ODBC

Conclusion – JDBC vs ODBC

After comparing JDBC vs ODBC over a range of factors, it can be concluded that these are the two important application programming interphase which helps the application to communicate between client side and server side across different databases, but at the same point of time, each one has its own pros and cons. So, before choosing any one of them, developers should learn and analyze different aspects of both JDBC vs ODBC. Thus, based on the type of project need, time of work and on all other different discussed aspects, any of these two should be selected to reach the desired goal.

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