Let's think about this for a second
You could install and run a database on an EC2 instance yourself — but OS patching, database software updates, backups, replication setup — all of that becomes your job to manage, and it takes time. RDS is a managed service where AWS handles all of that for you — just say 'I want this engine (MySQL/PostgreSQL), this size' and you'll have a database instance ready within a few minutes. Enable Multi-AZ deployment and if one AZ goes down, a standby replica automatically fails over for you (high availability).
Let's connect this to a real scenario
Your web app's backend server (EC2, sitting in a Private Subnet) connects to an RDS database (also in a Private Subnet) using a connection string (endpoint, username, password) — RDS's automatic backups (7 days by default) let you do point-in-time recovery (so you can restore if data gets corrupted).
Let's look at this together
# Create an RDS PostgreSQL instance (Free Tier eligible: db.t3.micro)
aws rds create-db-instance \
--db-instance-identifier tutorial-db \
--db-instance-class db.t3.micro \
--engine postgres \
--master-username admin \
--master-user-password 'ChangeMe123!' \
--allocated-storage 20$ aws rds describe-db-instances --db-instance-identifier tutorial-db --query 'DBInstances[].DBInstanceStatus'
["available"]Try it in 5 minutes
Create a db.t3.micro (Free Tier eligible) RDS instance — once it's created, note down the endpoint, and after practicing, delete the instance (to avoid costs).
A quick word of caution
When you delete an RDS instance, it creates a final snapshot by default (so your data isn't lost) — double-check the snapshot option before deleting a production database.