AWS re: Invent DAT 101: Understanding AWS Database Options

Опубликовано 7 декабря 2012, 21:51

When you're handling big data in the modern world, you will come to a point where you can't just pick a "one size fits all" approach anymore. However, to get the results you want, you also don't have to spend big money on fire breathing hardware, or expensive software. AWS offers a beautiful array of open and commercial database choices, from do-it-yourself to fully managed services which handle scaling, and gives you powerful tools to choose the right architecture. You could choose from MySQL, RDS, Oracle, SQL Server, MongoDB, DynamoDB, Cassandra, ElastiCache, Redis, and SimpleDB, and our customers use them for different use cases.

Each has different strengths, and this session highlights when you would want to choose each, with examples of how we use each to solve our big data challenges and why we made those decisions. We profile the some of the choices available to you - MySQL, RDS, Elasticache, Redis, Cassandra, MongoDB and DynamoDB -- and three customer case studies on RDS, ElastiCache and DynamoDB.