github
/
developer-roadmap
mirror of https://github.com/kamranahmedse/developer-roadmap.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity
Roadmap to becoming a developer in 2022
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
3101 Commits
223 Branches
4 Tags
438 MiB
 
 
 
 
 
Tag: Branch: Tree: 855ba7bbfb
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from '855ba7bbfb'
${ noResults }
developer-roadmap/src/data/roadmaps/postgresql-dba/content/101-introduction/101-rdbms-benefits-limitati...

2.3 KiB
Raw Blame History

RDBMS Benefits and Limitations

Benefits

  • Structured Data: RDBMS allows data storage in a structured way, using rows and columns in tables. This makes it easy to manipulate the data using SQL (Structured Query Language), ensuring efficient and flexible usage.

  • ACID Properties: ACID stands for Atomicity, Consistency, Isolation, and Durability. These properties ensure reliable and safe data manipulation in a RDBMS, making it suitable for mission-critical applications.

  • Normalization: RDBMS supports data normalization, a process that organizes data in a way that reduces data redundancy and improves data integrity.

  • Scalability: RDBMSs generally provide good scalability options, allowing for the addition of more storage or computational resources as the data and workload grow.

  • Data Integrity: RDBMS provides mechanisms like constraints, primary keys, and foreign keys to enforce data integrity and consistency, ensuring that the data is accurate and reliable.

  • Security: RDBMSs offer various security features such as user authentication, access control, and data encryption to protect sensitive data.

Limitations

  • Complexity: Setting up and managing an RDBMS can be complex, especially for large applications. It requires technical knowledge and skills to manage, tune, and optimize the database.

  • Cost: RDBMSs can be expensive, both in terms of licensing fees and the computational and storage resources they require.

  • Fixed Schema: RDBMS follows a rigid schema for data organization, which means any changes to the schema can be time-consuming and complicated.

  • Handling of Unstructured Data: RDBMSs are not suitable for handling unstructured data like multimedia files, social media posts, and sensor data, as their relational structure is optimized for structured data.

  • Horizontal Scalability: RDBMSs are not as easily horizontally scalable as NoSQL databases. Scaling horizontally, which involves adding more machines to the system, can be challenging in terms of cost and complexity.

In conclusion, choosing an RDBMS such as PostgreSQL depends on the type of application, data requirements, and scalability needs. Knowing the benefits and limitations can help you make an informed decision and select the best-fit solution for your project.