Advantages and disadvantages of relational databases
- 1. Presented by V.Santhi, Department of Computer Application, Bon Secours College for women, Thanjavur
- 2. A relational database is a collection of data items with pre-defined relationships between them.These items are organized as a set of tables with columns and rows.Tables are used to hold information about the objects to be represented in the database.
- 4. A Relational Database system is the most simple model, as it does not require any complex structuring or querying processes. It doesn’t involve tedious architectural processes like hierarchical database structuring or definition. As the structure is simple, it is sufficient to be handled with simple SQL queries and does not require complex queries to be designed.
- 5. In the relational database system, there can be multiple tables related to one another with the use of a primary key and foreign key concepts. This makes the data to be non-repetitive. There is no chance for duplication of data. Hence the accuracy of data in the relational database is more than any other database system.
- 6. In the Relational Database System, there is no pattern or pathway for accessing the data. Anyone who accesses the data can query any table in the relational database. Using join queries and conditional statements one can combine all or any number of related tables in order to fetch the required data. It allows one to pick on the desired columns to be incorporated in the outcome so that only appropriate data will be displayed.
- 7. Data integrity is a crucial characteristic of the Relational Database system. The relational reliability amongst the tables in the database helps in avoiding the records from being imperfect, isolated or unrelated. Data integrity aids in making sure of the relational database’s other significant characteristics like Ease of use, precision, and stability of the data.
- 8. A Relational Database system by itself possesses qualities for leveling up, expanding for bigger lengths to accommodate the constantly shifting requirements. This facilitates the increasing incoming amount of data, as well as the update and deletes wherever required. This model consents to the changes made to a database configuration as well, which can be applied without difficulty devoid of crashing the data or the other parts of the database.
- 9. As the data is divided amongst the tables of the relational database system, it is possible to make a few tables to be tagged as confidential and others not. This segregation is easily implemented with a relational database management system, unlike other databases. When a data analyst tries to login with a username and password, the database can set boundaries for their level of access, by providing admission only to the tables that they are allowed to work on, depending on their access level.
- 10. As the relational database system holds records in separate tables based on their categories, it is straightforward to insert, delete or update records that are subjected to the latest requirements. . Any number of new or existing tables or columns of data can be inserted or modified depending on the conditions provided, by keeping up with the basic qualities of the relational database management system.
- 11. Performance: A major constraint and therefore disadvantage in the use of relational database system is machine performance. If the number of tables between which relationships to be established are large and the tables themselves effect the performance in responding to the sql queries.
- 12. Physical Storage Consumption: With an interactive system, for example an operation like join would depend upon the physical storage also. It is, therefore common in relational databases to tune the databases and in such a case the physical data layout would be chosen so as to give good performance in the most frequently run operations.
- 13. Slow extraction of meaning from data: if the data is naturally organized in a hierarchical manner and stored as such, the hierarchical approach may give quick meaning for that data.