What types of databases are available on AWS?

Are you familiar with all the databases on AWS? More than just knowing them, you need to understand the characteristics of each one, especially their pros and cons. This can be the difference between the failure and success of your business. Curious? Check out our article!

Understanding the different databases available on AWS is crucial for making the right choice for your applications. We'll tell you about the different types of databases on AWS, focusing on their advantages and disadvantages.

Types of databases on AWS

It's important to understand that there are two types of databases on AWS: relational databases and non-relational databases. But what differentiates them? Don't worry! We'll tell you the details of each one.

Relational database

This is a structured dataset designed to recognize the relationships between stored information items. Composed of tables, they are capable of communicating and sharing information, which facilitates data searching, organization, and reporting. Its application programming interface (API) is the Structured Query Language (SQL).

There are four databases in AWS that belong to this group: Amazon Aurora, Amazon Commercial, Amazon Community, and Amazon Data Warehouse.

With relational databases you can:

– Reduces the hours spent migrating, configuring, and activating your databases on AWS;

– You have access to metrics for your databases on AWS, automating patches and updates;

– Simplifies backups and snapshots for all databases on AWS;

– It makes scalability simpler and faster.

On the other hand, relational databases:

– They present normalized data, which means many junctions and affects the speed;

They don't climb very well horizontally;

They have difficulty dealing with semi-structured data.

Non-relational database

Also known as NoSQL, this is a database designed to handle unstructured data or data that doesn't fit neatly into a table. Today, most generated data is unstructured, making non-relational databases more scalable and flexible. Undoubtedly, the growth of Big Data applications has helped popularize NoSQL.

There are three databases in AWS that are part of this group: Amazon DynamoDB (Key Value), Amazon ElastiCache (In-Memory Data Store) , and Amazon Neptune (Graph).

With NoSQL databases you can:

– It can scale its applications horizontally and work with semi-structured data;

– High availability;

– Easily update your databases on AWS, which is great for handling constantly changing applications.

The disadvantages of non-relational databases are:

Limited support for joints;

The data is denormalized, requiring bulk updates;

Limited indexing.

Whatever your choice, when it comes to databases on AWS, you need to ensure the stability of your applications.

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Written by Skyone