1.德比:
Apache Derby是用Java实现的功能齐全的开源关系数据库管理系统(RDBMS),顾名思义,它是由Apache Software Foundations开发的。它基于Java,JDBC和SQL标准。 Derby易于安装,部署和使用。它可以嵌入Java应用程序中,也可以用作数据库服务器。
2. MySQL:
MYSQL是由Oracle Corporation开发的一种广泛使用的开源关系数据库管理系统(RDBMS)。 MYSQL是用C和C++编程语言开发的。 MySQL支持的数据库模型是RDBMS和Document Store。 Derby和MySQL之间的区别:
S.No. | Derby | MYSQL |
---|---|---|
1. | Derby was developed by Apache Software Foundation. | MYSQL was developed by Oracle Corporation. |
2. | Derby is implemented in Java programming language. | MYSQL is implemented in C/C++ programming Languages. |
3. | The language supported by derby is Java. | The languages supported by MYSQL are C, C#, C++, Python, Ruby, Java, PHP, Javascript and others. |
4. | Derby was launched in August 2004. | MySQL was launched on 23 May 1995. |
5. | The Replication method used here is Master-Slave Replication. | The Replication methods used here are Master-Master Replication and Master-Slave Replication. |
6. | Derby suits well when there is need of small RDBMS in an application. | MYSQL suits well for both small and large organizational data storage for an application. |
7. | Derby is not well established in the market as compared to MYSQL. | MYSQL is well established in the market and is used by organizations ranging from small to large. |
8. | The speed provided by derby is fast. | Derby is fast but C/C++ is faster as compared to Java, thus making MYSQL faster. |
9. | The operating systems supported by Derby are Windows, macOs, Linux, Unix, BSD and z/OS. | The operating systems supported by MySQL are Windows, macOs, Linux, Unix, AmigaOS, BSD, z/OS and Android. |
10. | Derby does not support any partitioning methods. | MySQL supports partitioning methods like hash, list, range and composite partitioning. |
11. | Derby supports ACID properties. | MySQL also supports ACID properties. |
12. | No secondary database model is used. | The secondary database model supported is Document Store. |
13. | APIs and other access methods used by Derby is JDBC. | APIs and other access methods used by MySQL are ADO.NET, JDBC and ODBC. |