What is Amazon Aurora vs RDS?

Each of Amazon RDS and Amazon Aurora is a set of managed database services, which can meet most of customer requirements. General uses of databases that come with a number of customizations, cases that require flexibility to support a lot of database engines like MySQL, PostgreSQL, Oracle, and SQL Server, are also perfect cases for Amazon RDS. Amazon Aurora represents an increment in the performance and reliability that is engineered to deliver much higher performance and durability, especially for read-heavy and mission-critical applications. It is compatible with MySQL and PostgreSQL, hence easy migration, up to 5x the performance compared to standard MySQL. In other words, if very high performance and working within either MySQL or PostgreSQL ecosystems are needed, then Aurora is the best. If there is a need for more flexibility, with more engine options opening up, perhaps it could be RDS. Your choice really depends on what exactly your application needs most: performance or flexibility.

AWS (Amazon Web Services) offers both Amazon Aurora and Amazon Relational Database Service (RDS) as database services, however, they have slightly different functions and features. Amazon Aurora and Amazon RDS are contrasted here: - Amazon Aurora: 1.) Relational database engine: AWS's Amazon Aurora is a relational database engine. You can work with Aurora using PostgreSQL or MySQL tools and libraries because it is compatible with both of these databases. 2.) Performance: The scalability and great performance of Aurora are well known. In comparison to conventional relational databases, it is intended to provide faster and more efficient performance. 3.) Replication: For high availability and read scalability, Aurora provides both automated and manual replication methods. Your data can be replicated automatically across numerous Availability Zones (AZs) in a region. 4.) Storage: The storage system used by Aurora is distributed and fault-tolerant. Your database volume is automatically divided into 10GB parts and distributed over several disks. 5.) Backup and recovery: You may restore your database to any point in time thanks to Aurora's provision of continuous backups to Amazon S3. Additionally, it supports high availability automated failover. - Amazon RDS: 1.) Database Engine: Among other database engines, Amazon RDS, a managed database service, supports MySQL, PostgreSQL, Oracle, SQL Server, and MariaDB. 2.) Performance: For each supported database engine, RDS offers a variety of instance types and performance choices. You can select the instance type that most closely fits the demands of your job. 3.) Replication: Depending on the database engine you use, RDS offers replication functionality for high availability and read scaling. For failover, it provides Multi-AZ setups, for instance. 4.) Amazon EBS (Elastic Block Store) is the storage system used by RDS. You can select the kind of storage (such as magnetic, general-purpose SSD, or provisioned IOPS) that best meets your requirements.