Big Data platforms are extending data infrastructures, enabling capacity and performance increases in ways that are becoming more and more economical and attainable for today’s data-driven companies. However, estimating the total cost of ownership (TCO) for Hadoop can be challenging, with many costs hidden or not well understood when Hadoop environments are initially built and deployed.
In this Insight paper, we explore the total costs of ownership of Hadoop Big Data environments from a soft costs (or hidden) perspective. We analyze and discuss “soft costs” – those skills and resources necessary to build, run, and maintain a Hadoop environment, including the costs of opportunity and time to market; staffing Hadoop knowledge experience; and executing analytics. It is worthwhile for companies considering building a Hadoop environment to weigh these substantial albeit less-tangible costs on par with hard capital expenditures as they may be the deciding factor when choosing between self-managed Hadoop environments and the benefits of Platform-as-a-Service (PaaS) offerings.
Treasure Data is a leading cloud service for massive data processing, enabling companies to leverage their largest data sources without significant investments in time, specialized skills or infrastructure. An alternative to Hadoop, the Treasure Data Service provides an easier way to collect, manage and analyze Big Data.
Learn more about Treasure Data at www.TreasureData.com