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 from a tangible costs perspective. We analyze and illuminate actual and hidden hard costs of implementation with a Hadoop environment by option (including self-managed clusters and service-based environments). This includes hardware and software costs, as well as the support staffing and skills involved.
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