AWS Databases Explained Simply: RDS vs DynamoDB vs Redshift

When do you stop using files… and start using a database?

In this episode of Learn Data Easy, we break down AWS databases in the simplest way possible. No jargon, no stress.

You’ll understand the difference between:

Amazon RDS (relational databases for structured data)
Amazon DynamoDB (fast, scalable NoSQL databases)
Amazon Redshift (analytics and data warehousing)

The key idea is simple:
databases exist to store structured data that needs to be searched, updated, and queried efficiently.

If files are enough, use storage.
If your data needs structure, you need a database.

By the end of this video, you’ll be able to:

Understand when to use a database instead of files
Clearly explain RDS vs DynamoDB vs Redshift
Avoid the most common AWS exam confusions

This is part of the Learn Data Easy series, where we break down cloud, data, and AI concepts in a practical, easy-to-follow way.

If this helped, subscribe and follow along with the series.

Видео AWS Databases Explained Simply: RDS vs DynamoDB vs Redshift канала Learn Data Easy