Amazon Web Services Inc., an Amazon.com organization, today declared that its MySQL-compatible database engine Amazon Aurora is presently accessible to all clients. Aurora database engine aims to combine the cost-effectiveness and simplicity of open source databases with the availability and speed of costly commercial databases.

Amazon Aurora database engine was launched back in November as a preview and is presently accessible to all clients. According to Amazon, more than a thousand customers participated in the preview testing, and they observed about 5 times better performance than typical MySQL database. The preview users included individuals, global enterprises of various fields, and startups. According to a statement, FacialNetwork, Intuit, Kurt Geiger, and Coursera has been using Amazon Aurora database engine. Try it here: http://aws.amazon.com/rds/aurora/

It is good with the current MySQL and MariaDB databases, and it can power the pre-existing RDS (relational Database Service). Increasing the performance of RDS, Amazon Aurora database engine supports 6 million inserts per minute and about 30 million selects per minutes. While using RDS, clients can also call on Oracle, MySQL, PostgreSQL, and Microsoft SQL Server as database engines.

At the point when clients pick a moderate or open source elective, they miss the high performance and critical availability. Amazon is providing these services at about the one-tenth cost of the commercial databases. During the preview, clients have also found that Amazon Aurora database engine is scalable, durable, and reliable to support and power the most demanding applications.

Matt Wood, Amazon Web Services GM for product strategy, said that Amazon recommends for the majority of workloads. Recommending Amazon Aurora database engine for database use, they expect the customers to use Aurora as their first choice.

Amazon guarantees 99.99 percent availability with Amazon Aurora database engine. It can detect failures automatically and recover from them without rebuilding database cache.

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