- 26 Nov, 2025
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How to Create an RDS Database on AWS
How to Create an RDS Database on AWS: A Complete Beginner-Friendly Guide
Amazon Web Services (AWS) has become the go-to platform for deploying scalable, secure, and highly available applications. One of its most powerful services is Amazon RDS (Relational Database Service), which allows you to create and manage databases in the cloud without worrying about the underlying hardware, OS, or patching.
If you’re new to AWS or planning to move your databases to the cloud, this guide will walk you through exactly how to create an RDS database step-by-step.
What is Amazon RDS?
Amazon RDS is a fully managed database service that supports major relational database engines:
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MySQL
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PostgreSQL
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Oracle
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MariaDB
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SQL Server
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Amazon Aurora
RDS automates tasks such as backups, patching, monitoring, scaling storage, and more—making it easier for DBAs and developers to focus on performance and application logic.
Step-by-Step Guide: How to Create an RDS Database on AWS
Step 1: Log in to the AWS Console
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Go to the AWS Management Console.
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Search for RDS in the top search bar.
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Click on RDS Dashboard.
Step 2: Start Creating a New Database
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On the RDS Dashboard, click Create database.
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Choose a method:
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Standard Create → Recommended (full control)
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Easy Create → Basic setup (not recommended for production)
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Select Standard Create.
Step 3: Choose Your Database Engine
Pick the database engine you need:
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MySQL → Best for open-source web apps
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PostgreSQL → Highly scalable, feature-rich
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Oracle / SQL Server → Enterprise workloads
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Aurora → High performance & cost-efficient
👉 For most new setups, MySQL or PostgreSQL is ideal.
Step 4: Choose a Template
Select the template based on your use case:
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Production
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Dev/Test
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Free Tier → For learning/practice
Choose Free Tier if you’re practicing.
Step 5: Set Up DB Configuration
Enter the following:
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DB instance identifier → Example:
mydb-instance -
Master username → Example:
admin -
Master password → Set a strong password
Step 6: Choose Instance Size
For low-cost or free-tier learning:
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Instance class: db.t3.micro
This defines CPU & RAM capacity.
Step 7: Configure Storage
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Storage type: General Purpose SSD (gp2 or gp3)
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Allocated storage: 20–30 GB
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Enable storage autoscaling: Optional but recommended
Step 8: Set Connectivity Options
This is important.
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Virtual Private Cloud (VPC): Choose the default VPC
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Public access:
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Yes → If you want to connect from your local system
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No → If only EC2 or internal AWS resources will access it
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Choose Yes for learning setups.
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VPC security group:
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Allow inbound connection on your DB port (3306 for MySQL, 5432 for PostgreSQL)
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You can allow your IP only for security
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Step 9: Additional Configuration
You can modify:
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Initial database name
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Backup retention period
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Enable automated backup (recommended)
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Monitoring (optional for free-tier)
Step 10: Create the Database
Click Create database.
AWS may take 3–10 minutes to deploy the instance.
Once it’s available, you’ll see a status: Available
How to Connect to Your RDS Database
After creation:
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Go to Connectivity & Security tab
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Copy the endpoint (hostname)
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Use any client tool:
Examples:
MySQL:
PostgreSQL:
Make sure your local IP is allowed in the security group.
Why Use AWS RDS?
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Fully managed database service
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Automated backups & recovery
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Easy scaling
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High availability (Multi-AZ)
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Secure & cost-effective
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Reduces DBA workload significantly
Conclusion
Creating an RDS database is simple yet powerful. Whether you are a developer, DBA, or student, RDS helps you deploy production-ready databases without handling servers manually.
By following the above guide, you can quickly set up your own RDS instance and start building applications on top of it.
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