In today’s digital era, data is a valuable asset that needs to be managed effectively and efficiently to achieve business success. Traditional data management can lead to significant issues such as risk of loss, inconsistency, inefficiency, and vulnerability to data breaches. Hence, companies need data management solutions like a Database Management System (DBMS). 

This article will explore what DBMS is, how it works, its benefits, and how to optimize DBMS functionality. Want to learn more about DBMS? Read on below. 

What is a Database Management System? 

A Database Management System (DBMS) is a software that creates, protects, reads, updates, and deletes data in a database, as well as manages database security, data integrity, and concurrency. 

As the most common data management platform, a DBMS serves as an interface between the database and users or applications, ensuring data can be managed and accessed easily. 

How a Database Management System Works 

In managing data, a DBMS enables data to be accessed, locked, and modified for various functions, ranging from administrative tasks to backup and recovery. Here’s how a DBMS works: 

• Administrative Tasks: Facilitates management changes, monitoring and tuning performance, security, backup, and recovery 

• Storage: Provides data storage and retrieval using tables, rows, and columns 

• Concurrency Control: Manages data transactions by multiple users to prevent data corruption 

• Centralized Views: Offers centralized data views and controls over those views 

• Data Manipulation: Allows users to insert, update, delete, and modify data 

• Data Independence: With the availability of API interfaces for databases, developers don’t need to modify programs when changes occur in the database 

• Backup and Recovery: Offers options for data backup and recovery for quick restoration in unexpected events 

6 Benefits of Using a Database Management System 

Using a DBMS provides various benefits that facilitate operations in the business landscape. Here are six of them: 

1. Optimize Data Sharing and Security 

Users can access data more accurately and quickly, aiding in improved sales activities. 

2. Efficient Data Integration 

A DBMS simplifies the management, alignment, and integration of data from various sources, making workloads across the company more efficient and effective. 

3. Consistent Data Availability 

Data that is correct is often stored in multiple locations, but proper DBMS use can manage it more effectively. 

4. Compliance with Privacy Policies 

A DBMS allows companies to manage data privacy and security centrally, minimizing the risk of breaches. 

5. Better Decision-Making 

Optimal data management helps stakeholders make better decisions. 

6. Increase Business Productivity 

Reduces manual workload, allowing time and effort to be allocated to other tasks. 

After understanding the benefits of DBMS, we can see how this technology enhances company effectiveness and efficiency. However, the role of DBMS doesn’t stop there. With the advent of Artificial Intelligence (AI), new opportunities arise to enhance DBMS capabilities. Read on below. 

Utilizing AI for DBMS Optimization

Integrating AI technology into database management and automation processes offers various advantages, such as: 

1. Improved Data Quality 

AI algorithms can detect and correct inconsistent and inaccurate data. 

2. Enhanced DBMS Performance 

Provides AI-based solutions tailored to optimize query performance and resource usage. 

3. Security and Regulatory Compliance 

AI helps automate the identification of sensitive data and ensures compliance with regulations, reducing the risk of data breaches. 

4. Proactive Threat Mitigation 

AI facilitates the identification and mitigation of threats before they occur, reducing downtime and optimizing resource use. 

5. Deeper Insights 

AI-powered analytic tools provide valuable insights from data, enabling better decision-making. 

6. Workload Efficiency 

AI can lighten various routine DBMS tasks through management and automation. 

Having explored how AI enhances DBMS functionality, we see the significant potential it brings to business management. With AI integration, many DBMS solutions now offer higher performance, efficiency, and regulatory compliance. One of the best AI-powered data management systems is Oracle Database 23ai. 

Oracle Database 23ai Solutions

Oracle Database 23ai is the latest version of Oracle’s Database Management System, integrating AI technology directly into the database. This integration allows for secure and efficient real-time data processing without the need for external services. 

This DBMS features Oracle AI Vector Search and 300 additional features to facilitate AI and database integration, accelerate application development, and handle critical workloads. 

Key Features of Oracle Database 23ai 

Here are three of the latest features in Oracle Database 23ai: 

AI for Data 

Integrate AI directly into your database with features like AI Vector Search for similarity searches, natural language queries, and improved data mining. 

• AI Vector Search: Facilitates similarity searches on data with AI models for more relevant and accurate results 

• Secure Encoding of Data: Allows loading trusted AI models directly into the database for secure real-time inference 

• Natural Language Queries: Enables interaction with the database using natural language through integration with LLMs like Cohere and Llama 

• Enhanced Machine Learning: Continues to offer and improve built-in ML algorithms for sophisticated data mining and analysis 

Dev for Data 

Simplify development with features like JSON Relational Duality for flexible data modeling, property graphs for managing complex relationships, and enhanced SQL for easier querying. 

• JSON Relational Duality: Provides a unified data model, leveraging both relational and JSON structures for flexible development 

• Property Graphs: Enables modeling and querying complex data relationships using property graphs and a new SQL extension 

• Enhanced SQL: Introduces new data types, syntax simplifications, and other improvements to make SQL more developer-friendly 

Mission Critical for Data 

Enhance availability, scalability, and disaster recovery with RAFT replication, local rolling database maintenance, and True Cache. 

• Sharding with RAFT Replication: Improves data distribution and scalability with automatic replication configuration and sub-second failover 

• Local Rolling Database Maintenance: Simplifies the process of applying rolling patches in a cluster 

• Data Guard per Pluggable Database: Provides disaster protection at the pluggable database level 

• True Cache: Offers a simplified and efficient solution for caching data for improved application performance 

• SQL Firewall: Enhances database security by preventing unauthorized SQL execution 

Get Oracle Exclusively at CTM 

As an authorized distributor of Oracle, Computrade Technology Malaysia (CTM) is ready to assist you in adopting Oracle Database 23ai, from consultation and deployment to after-sales support, avoiding trial and error. 

Ready to optimize your Database Management System? Consult and learn more about the product by clicking this link. 

Author: Anggita Olivia Herman – Content Writer CTI Group