Sizzling SQL databases

Review: Amazon Aurora rocks MySQL

Amazon’s revved-up database service offers five times the throughput of MySQL and a formidable alternative to Oracle and SQL Server

At a Glance

The 20-year-old MySQL database is the world’s most widely used open source RDBMS, and it’s especially prevalent in Web applications built on the usual Linux stack. The common wisdom is that MySQL will give you good read performance in a multiuser, multithreaded scenario until your application becomes big enough to push the limits of the database.

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At that point, you can try adding replicas to improve read performance, caching with memcached to improve read performance, or sharding the database into a number of distributed server clusters to avoid storage limits and improve read and write performance. However, sharding comes at the cost of ugly maintenance issues and possibly higher query latency.

Sometimes applications that get to this point are moved from MySQL to another, more scalable database such as Oracle Database with Real Application Clusters (RAC). While that works, the licensing costs of Oracle RAC are significant, and the conversion of MySQL stored procedures and other database objects to Oracle objects can be time-consuming, even with a tool such as Oracle SQL Developer.

Enter Amazon Aurora.

Inside Amazon Aurora

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