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NoSQL has emerged in recent years to provide increased scalability and performance, and organizations have a problem in choosing between traditional SQL and NoSQL databases. This research gives software engineers and architects a way to select a NoSQL database for a particular big data environment and domain. It proposes a Quality Attribute Framework and Risk Analysis of NoSQL databases that can measure quality metrics associated with availability and security, which are critical to choosing the right NoSQL database for a given domain and to making better software development and design decisions. The framework will help IT departments align perceived risks of NoSQL database adoption with actual risks, helping IT managers in their database adoption and in the identification of risk factors that affect the new database technologies. The framework developed here will be finalized through a qualitative analysis of risk vectors via surveys of top IT leaders and IT companies.