The main difference between RDBMS and DBMS (Difference Between DBMS and RDBMS) is that RDBMS saves the data in tables, whereas DBMS saves the application data in the form of files. Tabular form basically means that the data is present in tables and columns. In RDBMS you can access data in relation to other data using tables.
A DBMS is a set of interconnected data in which hams can be accessed from one data to another using applications. RDBMS is a better variant of DBMS designed to remove inefficiencies. The common difference between DBMS and RDBMS is that DBMS just provides an environment where people can easily save data and retrieve it when needed. DBMS also contains redundant data. On the other hand, data redundancy is eliminated by using normalization in RDBMS.
DBMS uses a navigational model whereas RDBMS uses relational model to store and retrieve data.
Table of Contents
Difference Between DBMS and RDBMS (Difference Between RDBMS and DBMS)
| DBMS | RDBMS |
|---|---|
| Saves the data as a DBMS file | RDBMS saves data in tables |
| Only one data element is accessed at a time | Multiple data elements can be accessed simultaneously |
| One data element is not related to another data element | In this, data is saved in the form of tables which are related to each other. |
| Normalization does not happen | Normalization happens |
| DBMS does not support distributed data | RDBMS supports distributed data |
| It saves data in navigational or hierarchical form | It uses tabular form to save the data |
| It is used to handle small data | It is used to handle huge amount of data. |
| Data redundancy(redundant) is a common thing in this | Keys and indexes do not have data redundancy |
It is used in small organization | It is used in large organizations where a lot of data has to be handled. |
| Supports single user | It supports multiuser |
| It takes a lot of time to fetch large data | In this data fetching is faster than DBMS |
| There is a low security level for data manipulation | There is multiple level of security in RDBMS |
| Requires low software and hardware | Requires higher software and hardware |
| Examples: XML, Microsoft Access, etc. | Examples: MySQL, PostgreSQL, SQL Server, Oracle, etc. |
Key Differences Between DBMS and RDBMS
- DBMS uses navigational model whereas RDBMS follows a relational model where data is stored in the form of tables, and there is a relation between those classes.
- Multiple copies of data can be saved in multiple places in a DBMS, but redundancy is eliminated by using normalization in RDBMS data.
- Since multiple copies are saved in many places in the DBMS, it is difficult to modify the same file in multiple places. On the other hand, since there is a negligible copy of the data in an RDBMS, it is easy to modify the data.
- In case of RDBMS data is accessed faster. Conversely, it takes more time to access the data in DBMS.
- Only integrity constraints are employed in DBMS whereas RDBMS employs schema based constraints and data dependencies.
- key and indexed are not used in DBMS. On the contrary, in RDBMS these are used to establish relationship between tables.
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Conclusion
DBMS and RDBMS are database management systems where RDBMS is more powerful than DBMS. RDBMS is more efficient, faster, and popular and effectively eliminates the limitation of DBMS. DBMS does not provide any security regarding the manipulation of data whereas RDBMS has multiple levels of security of data.
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