Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads
Joy James Prabhu Arulraj, Andrew Pavlo, Prashanth Menon · 2016
Data-intensive applications seek to obtain trill insights in real-time by analyzing a combination of historical data sets alongside recently collected data. This means that to support such hybrid workloads, database management systems (DBMSs) need to handle both fast ACID transactions and complex analytical queries on the same database. But the current trend is to use specialized systems that are optimized for only one of these workloads, and thus require an organization to maintain separate copies of the database. This adds additional cost to deploying a database application in terms of both storage and administration overhead.