• atulsharma.cse@gmail.com
• March 22, 2025
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Imagine that you run an e-commerce store for sports shoes and it has started growing. Gaining traction to the business follows the hassle of managing customer and product databases manually. This is when you can consider shifting to a database service.

One such excellent database service to explore is Amazon RDS. In this blog, we will cover the AWS database which is the Amazon database and understand what exactly AWS RDS is along with an example, and how to create a database using Amazon RDS.

What Exactly is AWS RDS? Explained with Example

The term itself can be misleading however, you must know that AWS RDS in itself is not a database however, it is a collection of service that manages all the relational databases. 

Note: A relational database is a collection of data stored in the form of rows and columns in a table. The data stored in these tables is related to each other. For example, an employee database that consists of two tables one of which contains employee information and the other one with the company’s department with employee ID.

Amazon RDS (Relational Database Service) is a managed database service provided by Amazon Web Services (AWS). It allows users to set up, operate, and scale relational databases in the cloud with ease. 

Let’s understand with an example.

Imagine you’re running a lemonade stand. You have to count how many lemons you possess, how much sugar you used, and how many cups of lemonade you sold. Rather than jotting all of that down on a piece of paper, you keep a large notebook that keeps it all in nice order so that you can locate it quickly when you need to.

Amazon RDS is this notebook but for websites and applications. For instance:

• Netflix employs Amazon RDS to keep track of your favorite series and where you stopped watching them.
• Airbnb employs it to keep track of available homes, guest reservations, and reviews.
• A game app may employ it to store players’ scores or achievements.

The icing on the cake? Amazon RDS does all the heavy lifting such as sorting, creating backups, and ensuring that the data is secure—just like having someone assist you in updating your notebook so that you can concentrate on selling more lemonade!

What are the Features of Amazon RDS?

Here are some key features of Amazon RDS:

1. Database Engines: Supports various database engines like MySQL, PostgreSQL, MariaDB, Oracle, and Microsoft SQL Server.
2. Managed Service: Provides automated tasks like hardware provisioning, database configuration, patching, and backups, enabling users to concentrate on their application.
3. Scalability: Scalable database instance size and storage capacity with ease, based on application requirements.
4. High Availability: Provides Multi-AZ deployment options for higher availability and durability.
5. Security: Offers a range of security features such as network isolation, encryption in transit and at rest, and IAM integration for managing access.
6. Monitoring and Metrics: Supports integration with Amazon CloudWatch for database performance monitoring and configuration of alerts.
7. Backup and Recovery: Supports automated backups and the option to undertake point-in-time recovery.

Amazon RDS is widely used for applications that require a reliable database solution without the overhead of managing the underlying infrastructure.

How to Create a Database Using Amazon RDS?

The main purpose of Amazon RDS is to simplify the set up, operation and scaling of relational databases. Here is how Amazon RDS work:

• Creating a Database Instance:

First of all, you need to go to the Amazon Management Console or APIs and start by creating a database instance inside it. This instance is the core unit where data is stored and managed.

You can do so by logging into your Amazon Web Services (AWS) account on the Console.

• Open RDS Console:

Go ahead and type ‘RDS’ in the search bar and select RDS service from the results.

• Select Region:

From the upper-right corner, choose the region where you want to create your database instance. It is preferred to create it close to your application servers. 

• Navigate to Databases:

Click on ‘Databases’ in the RDS console navigation pane.

• Create a Database:

Then click on ‘Create a Database’ and make sure that you select the ‘Standard Select.’

• Choose a Database Engine:

You can then choose a database engine that you want to work on. It can be MySQL, PostgreSQL, MariaDB, Oracle, SQL Server, or Amazon Aurora.

• Select a Template:

You can then select a template based on your use case. For example, Free Tier for testing or Multi-AZ for high availability.

• Configure Database Settings:

Later on, you need to provide details such as:

1. DB Instance Identifier: A unique name for your database.
2. Master Username and Password: Credentials for accessing the database.

• Choose Instance Size:

Choose the instance type based on your workload (e.g., db.t2.micro for lightweight applications).

• Set Storage Options:

Specify storage size (e.g., 20 GB) and enable automated backups for data safety.

• Configure Connectivity:

Set up VPC, subnet groups, and security groups to define how your database will connect with other resources securely.

• Additional Configuration:

Optionally specify an initial database name, enable monitoring, or configure maintenance settings.

• Database Creation:

Once created, check its status in the “Databases” list (it should show as “Available”). Use the endpoint and port provided under “Connectivity & Security” to connect to your database.

By following these steps, you can create an AWS Relational Database.

FAQs: