Amazon Aurora is a MySQL and PostgreSQL-compatible built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is up to five times faster than standard databases and three times faster than standard PostgreSQL databases.

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It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by, which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups. Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance.

It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones (AZs). Visit the to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases. Get 5X the throughput of standard MySQL and 3X the throughput of standard PostgreSQL. This performance is on par with commercial databases, at 1/10th the cost.

You can easily scale your database deployment up and down from smaller to larger instance types as your needs change, or let handle scaling automatically for you. To scale read capacity and performance, you can add up to 15 low latency read replicas across three Availability Zones.

Amazon Aurora automatically grows storage as needed, up to 64TB per database instance. Learn more: . Amazon Aurora is designed to offer greater than 99.99% availability, replicating 6 copies of your data across 3 Availability Zones and backing up your data continuously to Amazon S3. It transparently recovers from physical storage failures; instance failover typically takes less than 30 seconds. You can also backtrack within seconds to a previous point in time, to recover from user errors. With, a single Aurora database can span multiple AWS regions to enable fast local reads and quick disaster recovery.

Learn more: . Amazon Aurora is fully managed by Amazon Relational Database Service (RDS). You no longer need to worry about database management tasks such as hardware provisioning, software patching, setup, configuration, or backups.

Aurora automatically and continuously monitors and backs up your database to Amazon S3, enabling granular point-in-time recovery. You can monitor database performance using Amazon CloudWatch,, or, an easy-to-use tool that helps you quickly detect performance problems.

Learn more: . Aurora Multi-Master for the MySQL-compatible edition adds the ability to scale out write performance across multiple Availability Zones, allowing applications to direct read/write workloads to multiple instances in a database cluster and operate with higher availability. And Aurora Serverless for the PostgreSQL-compatible edition (previously released for MySQL) is a deployment option that automatically starts, scales, and shuts down an Aurora database. It offers database capacity without the need to provision, scale, and manage any database servers. If you're currently using Amazon RDS for MySQL or Amazon RDS for PostgreSQL, migrating to Aurora is as simple as creating a snapshot and launching an Aurora instance from that snapshot.

You can follow the simple, step by step instructions in the to perform the migration. Since Amazon Aurora is fully MySQL- and PostgreSQL-compatible, your applications can easily be reconnected to the new instance without any changes.

MySQL and PostgreSQL databases running on Amazon EC2 or on-premises can also be easily migrated. Create a snapshot backup of your existing database, upload it to Amazon S3, and use it to directly create an Amazon Aurora cluster. You can also import data stored in an Amazon S3 bucket into a table in an Amazon Aurora database. Standard MySQL import and export tools or MySQL binlog replication are also supported. Migrating to Amazon Aurora from supported databases running on Amazon EC2 or on-premises can also be done using AWS Database Migration Service. The AWS Schema Conversion Tool simplifies migration from Oracle and Microsoft SQL Server to Amazon Aurora by automatically converting the source database schema and a majority of the custom code - including views, stored procedures, and functions - to a format compatible with Amazon Aurora.