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Amazon Aurora is a proprietary relational database offered as a service by Amazon Web Services (AWS) since October 2014.cite-ref-awsblog-1-1[1]cite-ref-2[2] Aurora is available as part of the Amazon Relational Database Service (RDS).

• History

• Features

• See also

• References

• External links

Aurora offered MySQL compatible service upon its release in 2014. It added PostgreSQL compatibility in October 2017.cite-ref-3[3]

In August 2017, Aurora Fast Cloning (copy-on-write) feature was added allowing customers to create copies of their databases.cite-ref-4[4] In May 2018, Aurora Backtrack was added which allows developers to rewind database clusters without creating a new one.cite-ref-5[5] It became possible to stop and start Aurora Clusters in September 2018.cite-ref-6[6] In August 2018, Amazon began to offer a serverless version.cite-ref-7[7]cite-ref-8[8]

In 2019 the developers of Aurora won the SIGMOD Systems Award for fundamentally redesigning relational database storage for cloud environments.cite-ref-9[9]

Aurora automatically allocates database storage space in 10-gigabyte increments, as needed, up to a maximum of 128 terabytes.cite-ref-features-10-0[10] Aurora offers automatic, six-way replication of those chunks across three availability zones for improved availability and fault-tolerance.cite-ref-11[11]

Aurora provides users with performance metrics, such as query throughput and latency.cite-ref-12[12] It provides fast database cloning.cite-ref-13[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.cite-ref-14[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.cite-ref-support8-0-15-0[15] It supports InnoDB as a storage engine.cite-ref-faq-16-0[16]

• Amazon Relational Database Service

• Amazon DocumentDB

cite-note-awsblog-11. "Amazon Aurora – New Cost-Effective MySQL-Compatible Database Engine for Amazon RDS". Amazon Web Services. November 12, 2014.

cite-note-22. ↑ citerefpreimesberger2014Preimesberger, Chris (November 12, 2014). "Amazon Claims New Aurora DB Engine Screams With Speed". eweek.com. Retrieved November 13, 2014.

cite-note-33. ↑ "Now Available – Amazon Aurora with PostgreSQL Compatibility". Amazon Web Services. October 24, 2017. Retrieved April 7, 2019.

cite-note-44. ↑ "Amazon Aurora Fast Database Cloning". August 30, 2017. Retrieved September 15, 2020.

cite-note-55. ↑ "AWS launches an undo feature for its Aurora database service". TechCrunch. May 10, 2018. Retrieved September 11, 2020.

cite-note-66. ↑ "Amazon Aurora Now Supports Stopping and Starting of Database Clusters". Amazon Web Services, Inc. Retrieved April 7, 2019.

cite-note-77. ↑ "Aurora Serverless MySQL Generally Available". Amazon Web Services. August 9, 2018. Retrieved April 7, 2019.

cite-note-88. ↑ "When should I use Amazon RDS vs. Aurora Serverless?". SearchCloudComputing. Retrieved September 11, 2020.

cite-note-99. ↑ "Awards - SIGMOD/PODS 2019". SIGMOD 2019. Retrieved August 9, 2019.

cite-note-features-1010. ↑ "Amazon Aurora Increases Maximum Storage Size to 128TB". Retrieved September 28, 2020.

cite-note-1111. ↑ "Amazon Aurora FAQs | MySQL PostgreSQL Relational Database | Amazon Web Services". Amazon Web Services, Inc. Retrieved March 9, 2021.

cite-note-1212. ↑ "Monitoring Amazon Aurora performance metrics". Datadog. November 19, 2015. Retrieved September 15, 2016.

cite-note-1313. ↑ "Amazon Aurora Fast Database Cloning". Amazon Web Services. August 30, 2017. Retrieved April 12, 2019.

cite-note-1414. ↑ "Amazon Aurora Multi-Master is Now Generally Available".

cite-note-support8-0-1515. ↑ "Amazon Aurora supports MySQL 8.0". Retrieved December 24, 2021.

cite-note-faq-1616. ↑ "Amazon Aurora Product Details". Retrieved September 15, 2016.

• Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases - SIGMOD'17 (ACM digital library)

• citerefamazon-web-services-inc-2014Amazon Web Services, Inc. (November 12, 2014). "Amazon Web Services Announces Amazon Aurora". phx.corporate-ir.net (Press release). Seattle, WA. Retrieved November 13, 2014.