Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability. Amazon Aurora joins MySQL, Oracle, Microsoft SQL Server, and PostgreSQL as the fifth database engine available to customers through Amazon RDS. Amazon RDS handles routine database tasks such as provisioning, patching, backup, recovery, failure detection via the Multi-AZ deployment option, and repair.

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Amazon Aurora is now available to customers in AWS Asia Pacific (Tokyo) region.


Introducing Amazon Aurora (2:29)

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Amazon Aurora is designed to be compatible with MySQL 5.6, so that existing MySQL applications and tools can run without requiring modification.

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Amazon Aurora provides up to five times the throughput of standard MySQL running on the same hardware.

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Amazon Aurora is designed to offer greater than 99.99% availability, replicating 6 copies of data across 3 Availability Zones and backing up data continuously to Amazon S3. Recovery from physical storage failures is transparent and instance restarts typically require less than a minute.

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You can use Amazon RDS to scale your Amazon Aurora database instance up to 32 vCPUs and 244GiB Memory. You can also add up to 15 Amazon Aurora Replicas across three availability zones to further scale read capacity. Amazon Aurora automatically grows storage as needed, from 10GB up to 64TB.

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Amazon Aurora isolates your data within an Amazon VPC and can automatically encrypt your data in-transit.

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Amazon Aurora provides similar performance and availability as high-end commercial database offerings, but at one tenth of the cost. There is no minimum commitment or up-front fees, and you will only be charged for what you actually use.

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