Amazon
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| Developer(s) | Amazon.com |
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| Initial release | October 2014 [1] |
| Operating system | Cross-platform |
| Available in | English |
| Type | relational database SaaS |
| License | Proprietary |
| Website | aws |
Amazon Aurora is a relational database service developed and offered by Amazon Web Services beginning in October 2014.[1][2] Aurora is available as part of the Amazon Relational Database Service (RDS).
Aurora offered MySQL compatible service upon its release in 2014. It added PostgreSQL compatibility in October 2017.[3]
In August 2017, Aurora Fast Cloning (copy-on-write) feature was added allowing customers to create copies of their databases.[4] In May 2018, Aurora Backtrack was added which allows developers to rewind database clusters without creating a new one.[5] It became possible to stop and start Aurora Clusters in September 2018.[6] In August 2018, Amazon began to offer a serverless version.[7][8]
In 2019 the developers of Aurora won the SIGMOD Systems Award for fundamentally redesigning relational database storage for cloud environments.[9]
Aurora automatically allocates database storage space in 10-gigabyte increments, as needed, up to a maximum of 128 terabytes.[10] Aurora offers automatic, six-way replication of those chunks across three Availability Zones for improved availability and fault-tolerance.[11]
Aurora provides users with performance metrics, such as query throughput and latency.[12] It provides fast database cloning.[13]
Aurora Multi-Master allows creation of multiple read-write instances in an Aurora database across multiple Availability Zones, which enables uptime-sensitive applications to achieve continuous write availability through instance failure.[14]
Amazon designed Aurora to be compatible with MySQL, meaning that tools for querying or managing MySQL databases (such as the mysql command-line client and the MySQL Workbench graphical user-interface) can be used. As of December 2021, Amazon Aurora is compatible with MySQL 5.6, 5.7, and 8.0.[15] It supports InnoDB as a storage engine.[16]
Amazon claims fivefold performance improvements on benchmarking tests over MySQL on the same hardware, due to "tightly integrating the database engine with an SSD-based virtualized storage layer purpose-built for database workloads, reducing writes to the storage system, minimizing lock contention and eliminating delays created by database process threads".[16] Other independent tests have shown that Aurora performs better than competing technologies on some, but not all, combinations of workload and instance type.[citation needed]
