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January 2019 | by Sky.One Solutions
Knowing the different databases on AWS is critical to making the right choice for your applications. We will tell you what types of databases are on AWS , focusing on their advantages and disadvantages .
It is important to understand that there are two types of databases on AWS: relational databases and non-relational databases. But what makes them different? Don't worry! We will tell you the details of each one of them.
It is a structured data set to recognize relationships between stored information items. Composed of tables, they are able to communicate and share information, which facilitates data research, organization and reports. Its application programming interface (API) is Structured Query Language (SQL).
There are four databases on AWS that are part of this group: Amazon Aurora, Amazon Commercial, Amazon Community, and Amazon Data Warehouse.
– Reduces the hours spent to migrate, configure and activate your databases on AWS;
– Has access to metrics from your databases on AWS , automating patches and updates;
– Simplifies backups and snapshots for all databases on AWS;
– Makes scaling simpler and faster.
– Present normalized data, which means a lot of joins and affects speed;
– They do not scale very well horizontally;
– Have difficulty dealing with semi-structured data.
Also known as NoSQL, it is a database designed to deal with unstructured data or data that does not fit perfectly in a table. Today, most of the data generated is unstructured, making the non-relational database more scalable and flexible. Undoubtedly, the growth of Big Data applications has helped popularize NoSQL.
There are three databases on AWS that are part of this group: Amazon DynamoDB (Key Value) , Amazon ElastiCache (In-Memory Data Store) , and Amazon Neptune (Graph).
– Can scale your applications horizontally and work with semi-structured data;
- High Availability;
– Easily upgrades your databases on AWS , which is great for dealing with ever-changing applications.
– Limited support for joins;
– Data is denormalized, requiring bulk updates;
– Limited indexing.
Whichever you choose, when it comes to databases on AWS , you need to ensure the stability of your applications.
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This content was produced by SkyOne's team of cloud and digital transformation experts.