Updated March 8, 2023
Difference Between Amazon rds vs Aurora
Both are used to set up relational databases into the cloud. RDS stands for Relational Database service by the use of them we can easily set up our database into the cloud and also we can manage, scale them whenever we want. RDS is also cost-efficient, manageable, resizable, also comes up with many easy ways to configure our database without much hustle. On the other side, we have Aurora it is a data engine which can be used with Postgres and MySQL. It is fully compatible with both of them. With the help of the Aurora database engine we can deliver the throughput of MySQL five times on the other hand for postgreas it is three times, without the changes to our existing application. Both MySQL and postgres database means are customized to deliver high throughput and take advantage of a distributed systems as well. We can choose it from the console whenever we want to create the database for our application it is easy to use. In the coming section of the part, we will see them in detail about both in detail for better clarity.
Head to Head Comparison Between Amazon rds vs Aurora (Infographics)
Below are the top differences between Amazon rds vs Aurora:
Key Differences of Amazon rds vs Aurora
As we have already discussed both the database and how we can implement them using the AWS console. In this section, we will see key differences between both of them which will give us a better understanding to have a better idea about each of them in detail, so let’s get stated see below;
1) Backups: By backup, we understand the data store in order to get it in the case of system failure. They both provide us the way to back up our database in different ways let’s have a look at both of them to understand it better,
In RDS, it performs a full backup of our database by creating the snapshots. We can create the backup and enable the automated backup by using the options available inside the RDS while doing the configuration for our database. We have enabled the automated backup check for the database and need to specify the retention policy as well in order to create the backup for our database instance.
On the other hand, we have Aurora, its backup is automatic, continuous, and incremental a swell. we can also specify the backup retention policy for the aurora database instance. It also improves the restore rime by eliminating the frequent backup or snapshots of our data.
2) High Availability: AWS assures high availability for its service in general, Amazon aurora automatically maintain the multiple copies of our database, that is 6 copies of our database into the different availability zones. For us, it will automatically restore the data into the available zone without any data loss. Also, one more important feature is that it can automatically detect the failure and able to recover in less than 1 minute of the time.
On the other hand, we have RDS it is also highly available, but it takes more time in order to recover the data and sometimes has to be done manually.
3) Replication: With the help of them we can create a copy of our database. Let’s take a closer look at them in detail for better clarity, see below;
With the help of RDS, we can create 5 types of replica, but the replication process is slower than the Amazon aurora. On the other hand, we have Amazon Aurora which provide us two different kinds of replica, and it is faster then RDS also. It provides us the provision to create up to 15 replicate and this can be done in milliseconds.
4) Storage and Data usage: The storage for Amazon Aurora is automatic, which means it can grow automatically from 10 GB to 64 TB, with no impact on the database performance if the increment is by 10GB On the other hand we have RDS which can we grow up to 6TB, which can be done on the fly with no downtime.
Comparison Table
| Amazon RDS | Amazon Aurora |
| RDS stands for the relational database which is used to create the database on the cloud. With the help of his, we can create MySQL, Postgres, MariaDB, Oracle. SQL Server | Aurora is a database engine that is compatible with Postgres and MySQL. Provide the increased throughput for both the database. By this, we can also create the debase to the cloud. |
| RDS manages several activities for our database such as patching, backup, recovery, failure detection, etc. | It can easily be created with the help of the Amazon console while creating the database for our application. |
| With the help of this, we can perform the automated backup whenever we want them. Also, we can create our own manual backup snapshots using the console itself. | We can also move the amazon RDS into aurora just by restoring a snapshot. But we can only move RDS MySQL and Postgres. |
| RDS is highly available with primary and secondary instances. | It provides us high availability, monitoring, backup, failure detection, recovery, etc. |
| We can also provide and apply security to our RDS instance. which can be done via the IAM policy and AWS identity. By this, we can assign user roles and permissions. | To secure our aurora instance we can use the IAM policy and AWS identity. When the time of login IAM will grant permission to connect to the aurora. |
| It has the basic building block which Is nothing but the DB instance, DB instance is a database environment in short. | Aurora must be a caret in the VPC that stands for virtual private cloud. |
| We can run our RDS instance to several availability zones, which is known as Multi-AZ deployment. | Aurora also supports the SSL connection with the same public access key. |
| We can also monitor our RDS instance, by the use of CloudWatch we can monitor the performance and also the health of our database. | It uses the RDS management console, CLI to manage the different operations provisioning, security, backup, etc. |
Conclusion – Amazon rds vs Aurora
We can choose any of them which is going according to the need and also both can be carted easily by using the amazon console. We have a separate option to create an Aurora database engine. Both are highly reliable and provide the same functionality with minor difference which mentioned in the article already. Go through it and choose the RDS you want for your application.
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