How to chose an AWS database
Tags: backend, aws, database, cloud
Published: 2023-01-21 16:38:32

In order to ensure optimal performance, scalability and cost-effectiveness, selecting the appropriate database type is crucial for any application. This text aims to explore the various database options provided by Amazon Web Services (AWS) and provide guidance on when each should be used.



![AWS Databases](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/frdf90lmh3looxznbgup.png)

#Introduction to the options

##RDS
Relational Database Service (RDS). RDS is a fully managed service that makes it easy to set up, operate, and scale a relational database in the cloud. It supports popular database engines such as MySQL, PostgreSQL, and Oracle. RDS is a great choice for applications that need to store structured data and support complex queries and transactions.

##DocumentDB
DocumentDB, also known as AWS MongoDB, is a fully managed, fast, and highly available document database that makes it easy to store, manage, and query semi-structured data. DocumentDB is a great choice for applications that need to store and query semi-structured data, such as JSON documents. It is also a good choice for applications that need to scale horizontally, as it supports automatic sharding and partitioning.

##DynamoDB
DynamoDB is a fully managed, highly scalable, and fast NoSQL database service that supports both document and key-value data models. DynamoDB is a great choice for applications that need to store and retrieve large amounts of data with low latency. It supports automatic sharding and partitioning, which makes it easy to scale horizontally. Additionally, it supports secondary indexes, which allows you to query the data in different ways.

##Amazon Elasticsearch Service
Amazon Elasticsearch Service, which is a fully managed service that makes it easy to deploy, operate, and scale Elasticsearch clusters. It is a great choice for applications that need full-text search and analytics capabilities. Amazon Redshift, which is a fully managed data warehouse service that makes it easy to analyze large amounts of data using SQL and your existing business intelligence tools.

##Object Storage
An example is Amazon Simple Storage Service (S3) is an object storage service, which allows you to store and retrieve any amount of data from anywhere on the web. S3 is a great choice when you need to store and retrieve large amounts of unstructured data, such as images, videos, audio, and text files.

#How to chose one or another
you should consider factors such as the **type** of data you need to store, the **size** of your data, and the type of **queries** you will be running. 
Relational databases such as **RDS** are a great choice for applications that need to store structured data and support complex queries and transactions. NoSQL databases such as **DocumentDB** and **DynamoDB** are a great choice for applications that need to store and query semi-structured data or handle large amounts of data with low latency. 
Additionally, **Amazon Elasticsearch Service** and **Amazon Redshift** are great options for applications that need full-text search and analytics capabilities and **S3** is perfect in case you want to store objects, such as videos, files or images.