As businesses become more agile, the need for real-time and near real-time analysis on transactional data has become more important than ever. For database veterans, transactions and analytics have always been on two different systems. Such silo-ed approach resulted in expensive ETL processes, specialized data marts, SLA issues, and most importantly analytics on old data.
The latest architectural trends are increasingly leading the way to enable both transactions and analytics on the same data store. Gartner has called this capability of delivering transactions and analytics on the same data store and mixed workloads as Hybrid Transactional/Analytical Processing (HTAP).