The Time Machine in Columnar NoSQL Databases: The Case of Apache HBase

Not Only SQL (NoSQL) is a critical technology that scalable and provides flexible schemas, thereby complementing existing relational database technologies. Although NoSQL flourishing, present solutions lack the features required by enterprises for missions. In this paper, we explore to data recovery issue in NoSQL. Data any table entails restoring prior state or replaying (insert/update) operations over given time period past. Recovery of tables enables applications such as failure recovery, analysis historical data, debugging, auditing. Particularly, our study focuses on columnar databases. We propose evaluate two address problem implement based Apache HBase, popular Hadoop ecosystem widely adopted across industries. Our implementations are extensively benchmarked with an industrial benchmark under real environments.