Case Study: DBMS for Inventory Management System
Introduction
We previously designed an ERD for an inventory management system, outlining the database schema and relationships. Now, let’s explore the decision-making process behind selecting the preferred DBMS for this system.
Requirements Analysis
After analyzing the ERD and consulting stakeholders, we identified the following key requirements:
- Efficient handling of a large volume of inventory data.
- Support for complex queries and transactions.
- High availability and reliability to minimize downtime.
- Scalability to accommodate future growth.
- Strong security features to protect sensitive inventory information.
Options Considered
We evaluated several DBMS options, including MySQL, PostgreSQL, and MongoDB, based on their suitability for our requirements.
Decision Making
After careful consideration, we chose PostgreSQL as the preferred DBMS for the following reasons:
- Alignment with relational data model and structured nature of inventory data.
- Advanced features supporting complex queries, transactions, and data integrity.
- Vertical scalability options and excellent performance.
- Built-in features for replication, failover, and disaster recovery ensuring high availability.
- Robust security features including role-based access control and encryption.
Outcomes
By selecting PostgreSQL, we are confident in building a robust inventory management system that meets our organization’s needs for efficiency, scalability, reliability, and security.
Summary
PostgreSQL was selected as the preferred DBMS for the inventory management system.
The decision was based on its alignment with the relational data model and structured nature of inventory data.
PostgreSQL’s advanced features support complex queries, transactions, and data integrity.