Today, it’s not uncommon to find enterprise and consumer applications supporting hundreds of thousands or even millions of users and massive volumes of high velocity data. These are mission critical applications that companies across industries rely on to engage and transact with their customers, partners, and workers. And these applications often times require a relational database that is not only ACID compliant but also high performance, massively scalable, and highly available.
Traditional relational databases face critical challenges trying to support these types of ultra-demanding applications. For one, traditional relational databases, including old-guard commercial relational databases and open source relational databases, must be taken offline, sometimes for hours at a time, for maintenance, patches and upgrades.
Since its debut in 2015, Aurora continues to be the fastest growing service in the history of AWS. While customers choose Aurora for a number of reasons, benefits include:Testing on standard benchmarks have shown up to a 5x increase in throughput performance over stock MySQL on similar hardware and a 3x increase over stock PostgreSQL. Amazon Aurora uses a variety of software and hardware techniques to fully leverage available compute, memory and networking.
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