The pace of relational analytical databases deploying in the cloud are at an all-time high. And industry trends indicate that they are poised to expand dramatically in the next few years. The cloud is a disruptive technology, offering elastic scalability vis-à-vis on-premises deployments, enabling faster server deployment and application development, and allowing less costly storage. The cloud enables enterprises to differentiate and innovate with these database systems at a much more rapid pace than was ever possible before. For these reasons and others, many companies have leveraged the cloud to maintain or gain momentum as a company. The goal of this paper is to provide information to help a customer make the best decision, looking at factors in cloud data platform pricing - such as scope, scale, deployment, etc. - and how to determine the ultimate success metric when it comes to making a decision on a cloud data warehouse deployment – price-performance.