If you are planning for using Data Manipulation Language (DML) in your company or organization, you would do well to understand the difference between DDL and DML. Data Manipulation Language (DML) is a language for creating customized RDBMS that allows developers to manage a database. The primary intention behind the creation of DML was to replace the tedious task of creating customized data structures in the mind of a developer with a language that is more object-oriented and easier to use. As far as features are concerned, both languages are quite similar and it all depends on the needs of the organization and its data requirements. In short, DML is the better choice when it comes to performance and versatility. In this blog, you are going to learn DDL Vs DML in more details so that you can make your final decision about their usages. Click on the link and jump to the comparison table.
Now, let’s compare DML and DDL. DML is a relational and object-oriented language and is usually used to describe tables and related entity. On the other hand, DDL is a software abstraction layer on top of Data Manipulation Language (DML). DML syntax is quite similar to VSM and SQL. One thing that DML and DDL share is the ability to define entity keys that can be reused throughout the rest of the DML statement.
DDL Vs DML: Major Differences
There are some major differences between DML and DDL. First of all, DDL is more flexible than DML. For example, it allows the developer to create more complex data definition languages such as data schemas, logical schemas, relationship schemas, user defined roles, and so on. With DML, it is only possible to use generic objects. On the other hand, DML is more flexible when it comes to working with complex database structures.
Another important difference is that DML is more readable than DDL. In case there is any ambiguity in the data that you want to manipulate, DML allows you to store the result into the root table and use a DML command to access the sub-tables or sub-relationships of the root table. On the other hand, DDL does not allow you to do this.
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Another difference that makes DML and DDL more readable is that DML statements are more generic and are more readable. DML is very readable because it supports different data manipulation languages and can be written more succinctly. DML is also more generic because it can stand for any entity or property. The concept of entities in DML is very similar to the concepts of logical schemas in other programming languages. So, for example, when you write a DML statement, it will always produce the right entity or property that was intended by the developer.
One major difference between DDL and DML in database management is that DML statements allow developers to create reusable modules that can be executed in parallel without requiring knowledge of database administration. On the other hand, an application using a SQL server usually has to deal with entity persistence. When creating an SQL transaction, there is no guarantee that the statements written to entity-persistence commands would be consistent between the statements written to simple user queries. Hence the developers often need to apply patching procedures that would make sure the consistency of entity persistence logic.
Another big difference between DML and DDL is that DML is a more flexible query language than SQL databases. If you look at the SQL syntax, you would realize that a DML statement consists of two or more clauses compared to an SQL statement which only contains one clause. This makes DML much more flexible than traditional RDBMS systems. The lack of a single definition language makes DML more flexible and allows developers to write code that is more generic. On the other hand, SQL databases make it easy to map entity names to actual data in an SQL table.
Another big difference between DML and DDL in database management is that DML allows the developer to define the relationship between entities and join tables. In case of traditional RDBMS systems, the developer would have to either create a generic relationship or use the stored procedures in order to accomplish the task. There is no better way to express the fact that a relationship exists between tables and entities.
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DDL Vs DML: Comparison Table
|DDL (Data Definition Language) helps to specify the database structure or schema.||DML (Data Manipulation Language) lets you handle the data stored in the database.|
|DDL command is mainly used to create the database schema.||DML command can be used to populate & manipulate database|
|It is not classified further.||DML is categorized as Procedural & Non-Procedural DMLs.|
|CREATE, DROP, ALTER, TRUNCATE AND COMMENT and RENAME, etc.||INSERT, DELETE, UPDATE, MERGE, CALL, etc.|
|DDL defines the column of the table.||DML adds or updates the row of the table|
|DDL statements affect the complete table.||DML effects one or more rows as per specific requirements|
|You can’t rollback SQL Statement||Using DML, We can rollback the SQL Statement|
|DDL is declarative||DML is imperative|