|Initial release||October 2014|
|Type||relational database SaaS|
Amazon Aurora is a hosted relational database service developed and offered by Amazon since October 2014. Aurora is available as part of the Amazon Relational Database Service (RDS). Although it is a proprietary technology, it offers MySQL compatible service since its release and PostgreSQL compatible since October 2017  and it is also possible to stop and start Aurora Clusters since September 2018 . Since August 2018 Amazon also offers a serverless version of AWS Aurora. 
Aurora does not require the user to provision database storage, as it automatically allocates storage in 10-gigabyte increments, as needed, up to a maximum of 64 terabytes. Aurora offers automatic, six-way replication of those 10-gigabyte chunks across multiple locations for improved availability and fault-tolerance. Aurora also provides users with more comprehensive performance metrics, such as query throughput and latency, as compared to other RDS database engines., since August 2017 also provided fast database cloning feature.
Compatibility limitations with MySQL
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) work with Amazon Aurora databases as well. Not all MySQL options and features are available, however: as of September 2016[update], Amazon Aurora is only compatible with one version of MySQL (5.6), and supports only InnoDB as a storage engine.
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". Other independent tests have shown that Aurora performs better than competing technologies on some, but not all, combinations of workload and instance type.
- Preimesberger, Chris (2014-11-12). "Amazon Claims New Aurora DB Engine Screams With Speed". eweek.com. Retrieved 2014-11-13.
- Hiltbrand, Troy. "Analysis: Aurora Is Amazon's Answer for Forgotten DBMS Users". Upside. TDWI. Retrieved 14 September 2016.
- "Amazon Aurora FAQs". Amazon.com. Retrieved 14 September 2016.
- "Monitoring Amazon Aurora performance metrics". Datadog. Retrieved 15 September 2016.
- "Amazon Aurora Product Details". Amazon.com. Retrieved 15 September 2016.
- Tusa, Marco. "AWS Aurora Benchmarking part 2". Percona. Retrieved 15 September 2016.
- Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases - SIGMOD'17 (ACM digital library)
- Amazon Web Services, Inc. (2014-11-12). "Amazon Web Services Announces Amazon Aurora". phx.corporate-ir.net (Press release). Seattle, WA: Amazon.com. Retrieved 2014-11-13.
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