Main Types of Database Systems

Data is everywhere! You create and consume data daily, from social media posts to online transactions.

But how do you store, manage, and retrieve data efficiently and effectively? You need database systems.

These software applications help you create, manipulate, and query data in a structured and organized way.

However, not all database systems are the same.

There are different database systems, each with its features, benefits and drawbacks.

In this blog post, you’ll learn about the main kinds of databases and how to use these systems for various purposes!

What is a Database System?

A database is an organized collection of data or information that a computer can store, access, and manipulate.

There are different types according to how you organize data.

For example, in navigational databases, the data is shown as a tree-like structure (hierarchical databases). This capability makes it more flexible and have multiple and complex relationships between them (network databases).

There are also cloud databases where data is on a cloud rather than a local server. As a result, cloud databases are great for enterprise databases where many people need access to the data.

If a small group of people or just one person is going to manage the data, they can use a personal database.

A database is not just a bunch of data. It also needs a way to manage that data.

That's where the different types of database management systems come in.

A database system, also known as a Database Management System (DBMS), handles the interactions between users, applications and databases.

The DBMS allows you to create, update, delete and query data in the database using a Structured Query Languages.

Database systems also handles security, performance, backup and recovery.

How Do Database Systems Work?

A DBMS has three main components: the internal, the conceptual and the external level.

The internal level represents how data gets physically stored in the entire database.

It deals with data internal structures, file formats, indexes and hashing.

The DBMS manages the inner level.

The database organizes and represents the data at the conceptual level.

This layer defines the logical schema, which includes tables, columns, keys and constraints.

It provides a common view of the data for all users.

The external level represents how users and applications see and use the data.

It defines multiple views or subsets of the data for specific purposes or contexts.

Different Database System Types

Centralized Database Systems

Here, all data is stored and managed in a single unit, whether a computer, a server or a mainframe.

The unit that keeps the data is called the server, and the computers or devices that access the data are called the clients.

Pros of Centralized Database Systems

• Integrity: A centralized system ensures there’s only one copy of each piece of data in the database. That reduces data redundancy and inconsistency and enhances data reliability.
• Security: It can protect the data from unauthorized access, modification, or deletion by using authentication, encryption, and other mechanisms.

Cons of Centralized Database Systems

• Accessibility: This system relies on network speed and availability to have real-time access to the data. Network failures or congestion cause delays or errors in data processing.
• Availability: A centralized database system relies on the server's uptime and performance to provide access to the data.

Distributed Database Systems

In a distributed database system, the data is stored and managed on multiple units (computers, servers or mainframes.)

The unit that keeps the data is called a node, and the network of nodes is called a cluster.

Each node can run its DBMS, which provides the functionalities.

Pros of Distributed Database Systems

• Performance: A distributed database system can improve performance by spreading the workload among multiple nodes.
• Availability: It can boost availability by replicating data across multiple nodes.

Cons of Distributed Database Systems

• Cost: This system requires more hardware and software than other database systems.
• Complexity: Distributed database systems require more resources for their design, implementation, maintenance, and troubleshooting.

Relational Database Systems

Relational systems are among the most popular ones to store and manage data in a series of tables.

Tables consist of rows and column-oriented databases. Each row represents a record and each column represents an attribute.

Pros of Relational Database Systems

• Integrity: Relational database models ensure accurate and consistent data across all tables.
• Portability: They ease transferring or migrating data from one location to another with standardized formats and logical structures.

Cons of Relational Database Systems

• Access: These depend on the network speed and availability for real-time data access.
• Diversity: The systems may be unable to accommodate types or formats that require extra storage or processing methods.

Object-Oriented Database Systems

Object-oriented databases store and manipulate data as objects rather than tables or records.

Here, objects are entities with data and behavior, and the user or the programming language can define them.

Pros of Object-Oriented Database Systems

• Modeling: Object-oriented systems can model complex and diverse data types more easily.
• Manipulation: These databases offer efficient and effective data manipulation.

Cons of Object-Oriented Database Systems

• Administration: They may have more difficulty or overhead than other systems in managing and maintaining the data.
• Access: These systems may have lower performance or compatibility than others when accessing data.

NoSQL Database Systems

NoSQL or non-relational databases store data in various formats, such as documents, key-value pairs, graphs, or columns.

Pros of NoSQL Database Systems

• Performance: NoSQL database systems can provide faster and more consistent performance than other systems.
• Integration: They can integrate data more seamlessly with object-oriented programming languages.

Cons of NoSQL Database Systems

• Oversight: These may have more difficulty in managing and maintaining the data.
• Admission: NoSQL database systems may have lower performance or compatibility than others when accessing data.

How To Choose a Database System?

There are many factors to consider when choosing a database system!

Database System Models

The data model defines how the data is structured, organized, and manipulated in the database.

Database System Performance

Performance requirements depend on factors like hardware resources, network latency and data size and distribution.

Database System Scalability

DBMS have different scalability models and architectures.

Database System Security

Security refers to how well the database can protect your data from unauthorized access, modification or deletion.

Database System Costs

Cost includes many components: license fees, hardware expenses, Cloud Services fees, personnel salaries, training costs, support contracts, etc.

Conclusion

Database systems are Business Intelligence -based applications that can help you manage and manipulate data organizationally.

When deciding on a database system, there is no one-size-fits-all solution!

Consider aspects like data model, performance, scalability, security and cost.