DDL vs. DML in DBMS

The difference between DDL and DML in DBMS that is data base management system is that DDL, is data definition language that is used to specify database schema in database structure whereas DML is data manipulation language that is used to retrieve data from the dataa base.

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DDL vs. DML in DBMS

DDL vs. DML in DBMS

DDL is data definition language whereas DML is data manipulation language, both terms are considered to be the same, but they are different. Their role in DBMS is different. DDL is data definition language that is used to specify database schema in database structure whereas DML is data manipulation language that is used to retrieve data from the database. DBMS is a database management system that is a software package the main purpose of DMBS is to manipulate data. Normally data cannot be managed in hard form because of many factors such as it can be lost, it can be difficult to manage. DBMS make data manipulation very easy and safe. Your record is saved, and there is no risk of losing it in any case. DML is data manipulation that is used to create the schema that is a table in the database that is filled using data manipulation language. Data definition language fill column whereas DDL fill the row of table and row in the database is called tuple. DML can be used to insert, modify, delete and retrieve the data from a table in the database.  There are two types of data manipulation language that are procedural DMLS and Declarative DMLS. Procedural DMLS describe data that is to be retrieved, and this also defines how to get the data from table whereas declarative DMLS describe data that is to retrieve. Data maintenance is yet another very important function and features that DBMS offer. SQL that is the structure query language is most used software for DBMS. DDL is a data definition language that defines the database schema. Data definition language provide many facilities such as it define all other additional properties and it provides facility to specify constraints. The create command of data definition language is used to create a database. The Alter command us used to change the content of the table. The drop table is used to delete some data from the table. Truncate command is used to delete all content from the table and rename is used to rename the whole database. Data definition language accept all the command that is used to create a database. Select in data manipulation is used to retrieve data from the table. Insert in data manipulation is used to push the data in data. Update in data manipulation language is used to reform the data the table and delete in data manipulation language is used to delete the data from the table.

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Comparison Chart

BasisDDLDML
MeaningDDL is data definition language that is used to specify database schema in the database structureDML is data manipulation language that is used to retrieve data from the database.
Stands for DDL stands for data definition languageDML stands for data manipulation language
TypeThere is no type of data definition languageThere are two types of data manipulation language that are procedural DMLS and Declarative DMLS.
CommandsCommon commands of DDL are CREATE, ALTER, DROPCommon commands of DML are SELECT, INSERT, UPDATE

 

DDL

DDL is a data definition language that defines the database schema. Data definition language provide many facilities such as it define all other additional properties and it provides facility to specify constraints. The create command of data definition language is used to create a database. The Alter command us used to change the content of the table. The drop table is used to delete some data from the table. Truncate command is used to delete all content from the table and rename is used to rename the whole database. Data definition language accept all the command that is used to create a database.

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DML

DML is data manipulation that is used to create the schema that is a table in the database that is filled using data manipulation language. Data definition language fill column whereas DDL fill the row of table and row in the database is called tuple. DML can be used to insert, modify, delete and retrieve the data from a table in the database.  There are two types of data manipulation language that are procedural DMLS and Declarative DMLS. Procedural DMLS describe data that is to be retrieved, and this also defines how to get the data from table whereas declarative DMLS describe data that is to retrieve.  Select in data manipulation is used to retrieve data from the table. Insert in data manipulation is used to push the data in data. Update in data manipulation language is used to reform the data the table and delete in data manipulation language is used to delete the data from the table.

Key Difference

  • DDL is data definition language that is used to specify database schema in database structure whereas DML is data manipulation language that is used to retrieve data from the database.
  • DDL stands for data definition language whereas DML stands for data manipulation language.
  • There is no type of data definition language whereas there are two types of data manipulation language that are procedural DMLS and Declarative DMLS.
  • Common commands of DDL are CREATE, ALTER, DROP whereas Common commands of DML are SELECT, INSERT, UPDATE.

Conclusion

In this article above we see the difference between DDL and DML in the database.

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Explanatory Video

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