Abstract
Data store is the keystone component of any e-service system, which backs up its primary functionality and enables knowledge mining. Its features determine performance and API architecture for an entire system. Thus, directly impacts user experience through efficiency and application code complexity. Paper presents novel data store architecture, and positions its concept on the landscape of state-of-the-art solutions and relevant theory. In particular, it defines data availability problem, gives an overview of widely spread solutions, defines consistency relaxation problem, and elaborates on its implications on data store architecture. Paper is concluded by stating necessary future developments and resulting research targets.